Triple
T11515825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taika Reforms |
E273027
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Taika era
The Taika era was a mid-7th-century Japanese imperial period marked by sweeping political and administrative reforms that laid the foundations for a centralized state.
|
E930674
|
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: Taika era | Statement: [Taika Reforms, namedAfter, Taika era]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taika era Context triple: [Taika Reforms, namedAfter, Taika era]
-
A.
taikazan
Taikazan is the large central cauldron-like goal used in the traditional Central Asian horseback game Kok-boru, into which players aim to place a goat carcass to score.
-
B.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
C.
Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
-
D.
Saaho
Saaho is a 2019 Indian action thriller film known for its high-budget production, elaborate action sequences, and starring Prabhas in the lead role.
-
E.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
- 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: Taika era Triple: [Taika Reforms, namedAfter, Taika era]
Generated description
The Taika era was a mid-7th-century Japanese imperial period marked by sweeping political and administrative reforms that laid the foundations for a centralized state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taika era Target entity description: The Taika era was a mid-7th-century Japanese imperial period marked by sweeping political and administrative reforms that laid the foundations for a centralized state.
-
A.
taikazan
Taikazan is the large central cauldron-like goal used in the traditional Central Asian horseback game Kok-boru, into which players aim to place a goat carcass to score.
-
B.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
C.
Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
-
D.
Saaho
Saaho is a 2019 Indian action thriller film known for its high-budget production, elaborate action sequences, and starring Prabhas in the lead role.
-
E.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e625143a608190a1119b30c08df0fd |
completed | April 20, 2026, 1:07 p.m. |
| NEDg | Description generation | batch_69e62cf44018819094818f11ac653763 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e674c3a98c8190b32dc6879cb3a5f9 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 8, 2026, 9:36 p.m.