Triple
T7515634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Eastern Highlands |
E177633
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SEH
SEH is the standard abbreviation for the South Eastern Highlands, a biogeographic region in southeastern Australia characterized by elevated terrain and diverse ecosystems.
|
E670319
|
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: SEH | Statement: [South Eastern Highlands, abbreviation, SEH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEH Context triple: [South Eastern Highlands, abbreviation, SEH]
-
A.
SECC
SECC is a major exhibition and conference complex in Glasgow, Scotland, known for hosting large-scale events, concerts, and trade shows.
-
B.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
C.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
D.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
E.
SEEL
SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
- 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: SEH Triple: [South Eastern Highlands, abbreviation, SEH]
Generated description
SEH is the standard abbreviation for the South Eastern Highlands, a biogeographic region in southeastern Australia characterized by elevated terrain and diverse ecosystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEH Target entity description: SEH is the standard abbreviation for the South Eastern Highlands, a biogeographic region in southeastern Australia characterized by elevated terrain and diverse ecosystems.
-
A.
SECC
SECC is a major exhibition and conference complex in Glasgow, Scotland, known for hosting large-scale events, concerts, and trade shows.
-
B.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
C.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
D.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
E.
SEEL
SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f44dd48190b2b093aab9a196c8 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8461d4dbc8190b921666fa3524921 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c8471da6c481909b48db7ad6e9426d |
completed | March 28, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c848026e90819098d0b419101f91e1 |
completed | March 28, 2026, 9:28 p.m. |
Created at: March 27, 2026, 3:45 p.m.