Triple
T16771683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wehdat |
E407611
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Al-Wehdat |
E89429
|
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: Al-Wehdat | Statement: [Wehdat, shortName, Al-Wehdat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Wehdat Context triple: [Wehdat, shortName, Al-Wehdat]
-
A.
Al-Ittihad
Al-Ittihad is a prominent Libyan football club based in Tripoli, known for its success in domestic competitions.
-
B.
Al-Ittihad Misurata
Al-Ittihad Misurata is a professional football club from Misurata, Libya, that competes in the country’s top-tier league.
-
C.
Ittihad Basyoun
Ittihad Basyoun is an Egyptian football club known as one of the early youth teams where star forward Mohamed Salah began his playing career.
-
D.
Fath Union Sport
Fath Union Sport is a prominent Moroccan multi-sport club best known for its football team, based in the capital city of Rabat.
-
E.
Al-Wehdat SC
chosen
Al-Wehdat SC is a prominent Jordanian football club based in Amman, known for its large fan base and success in domestic competitions.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b036ff788190bd9f166c3f127818 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5361c3881909be0fb9b83a59993 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.