Triple
T9833459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banrep |
E239042
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Banrep |
E239042
|
NE 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: Banrep | Statement: [Banrep, shortName, Banrep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banrep Context triple: [Banrep, shortName, Banrep]
-
A.
Banrep
chosen
Banrep is the commonly used abbreviation for Banco de la República, Colombia’s central bank responsible for monetary policy and currency issuance.
-
B.
Tahmuras
Tahmuras is a legendary king in Iranian mythology, famed in the Shahnameh for subduing demons and advancing civilization during the early mythical dynasties.
-
C.
Huwarin
Huwarin is a town in present-day Syria historically noted as the place where the Umayyad caliph Yazid I died.
-
D.
Raneb
Raneb was an early ancient Egyptian pharaoh of the Second Dynasty, known for his association with the sun god Ra and for helping consolidate royal power in the formative period of the Egyptian state.
-
E.
Enfeh
Enfeh is a historic coastal town in northern Lebanon known for its ancient ruins, salt pans, and distinctive rocky peninsula on the Mediterranean Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb336bfc4819084f0d4d6d1867484 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c448388190818e4cc5e3a42dfc |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:32 p.m.