Triple
T8519983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Triassic |
E201670
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Middle Tr.
The Middle Triassic is a geologic epoch of the Triassic period marked by significant recovery and diversification of life following the end-Permian mass extinction.
|
E739709
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Middle Tr. | Statement: [Middle Triassic, hasAbbreviation, Middle Tr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middle Tr. Context triple: [Middle Triassic, hasAbbreviation, Middle Tr.]
-
A.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
B.
Mitte
Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
-
C.
Mitte
Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
-
D.
Middle Mon
Middle Mon is a historical stage of the Mon language, an important early written Austroasiatic language of mainland Southeast Asia.
-
E.
Mid-City
Mid-City is a central Los Angeles neighborhood known for its diverse residential communities and proximity to major city thoroughfares and cultural districts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Middle Tr. Triple: [Middle Triassic, hasAbbreviation, Middle Tr.]
Generated description
The Middle Triassic is a geologic epoch of the Triassic period marked by significant recovery and diversification of life following the end-Permian mass extinction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Middle Tr. Target entity description: The Middle Triassic is a geologic epoch of the Triassic period marked by significant recovery and diversification of life following the end-Permian mass extinction.
-
A.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
B.
Mitte
Mitte is a central urban district of the German city of Koblenz, encompassing key administrative, commercial, and historic areas.
-
C.
Mitte
Mitte is the central urban district of Ludwigshafen am Rhein, Germany, encompassing the city’s core commercial and administrative areas.
-
D.
Middle Mon
Middle Mon is a historical stage of the Mon language, an important early written Austroasiatic language of mainland Southeast Asia.
-
E.
Mid-City
Mid-City is a central Los Angeles neighborhood known for its diverse residential communities and proximity to major city thoroughfares and cultural districts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe628f8c48190a35201f9fde605cc |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e76dcd08190866fde75cd0ac389 |
completed | April 2, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ce4ffc30e08190b71e941d63d56015 |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce54dc664081908ff63ec7f92834d7 |
completed | April 2, 2026, 11:37 a.m. |
Created at: March 30, 2026, 6:16 p.m.