Triple
T7749751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben-Gurion faction |
E175724
|
entity |
| Predicate | formedCoreOf |
P16505
|
FINISHED |
| Object | Rafi |
E33035
|
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: Rafi | Statement: [Ben-Gurion faction, formedCoreOf, Rafi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafi Context triple: [Ben-Gurion faction, formedCoreOf, Rafi]
-
A.
Rafi
chosen
Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
-
B.
Rabil
Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
-
C.
Rafha
Rafha is a town in northern Saudi Arabia near the Iraqi border, known historically as a stop along regional trade and pilgrimage routes.
-
D.
Rafi Marg
Rafi Marg is a central New Delhi road located near the Indian government district around Raisina Hill, lined with important administrative and institutional buildings.
-
E.
Rishad
Rishad is an Indian business executive best known as the chairman of Wipro Limited.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b13af08190b110104fe96ef91e |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7c89e4c81909196638c159605b8 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:08 p.m.