Triple
T19081566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ramoth-gilead |
E467043
|
entity |
| Predicate | AhabRole |
P43668
|
FINISHED |
| Object | allied with Jehoshaphat of Judah |
—
|
LITERAL FINISHED |
How this triple was built (2 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: allied with Jehoshaphat of Judah | Statement: [Battle of Ramoth-gilead, AhabRole, allied with Jehoshaphat of Judah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AhabRole Context triple: [Battle of Ramoth-gilead, AhabRole, allied with Jehoshaphat of Judah]
-
A.
relationshipToAhab
chosen
Indicates the specific type of personal or social connection an entity has with Ahab.
-
B.
roleOnHokulea
Indicates the specific role or position an entity holds in relation to the Hokulea.
-
C.
roleInAH64
Indicates that an entity has a specific functional role or position in relation to the AH-64 attack helicopter.
-
D.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
E.
roleInAbyssinia
Indicates that an entity holds or held a specific role, position, or function in the context of Abyssinia (historical Ethiopia).
- F. None of above.
Provenance (3 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e9fccc819092c06c5da6f043ac |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.