Triple
T4001770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Wehdat SC |
E89429
|
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: [Al-Wehdat SC, shortName, Al-Wehdat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Wehdat Context triple: [Al-Wehdat SC, 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.
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.
-
C.
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.
-
D.
Ittihad Kalba
Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
-
E.
An-Nasr
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa4290a48190b9c8cffa012c4df1 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c5e95b88190a8b5234b18d7b769 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.