Triple
T15304555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ittihad Kalba |
E365864
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Ittihad Kalba |
E365864
|
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: Ittihad Kalba | Statement: [Ittihad Kalba, shortName, Ittihad Kalba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ittihad Kalba Context triple: [Ittihad Kalba, shortName, Ittihad Kalba]
-
A.
Ittihad Kalba
chosen
Ittihad Kalba is a professional football club from Kalba in the United Arab Emirates that competes in the country’s top-tier league.
-
B.
Al Taawoun
Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
-
C.
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.
-
D.
Abaji
Abaji is a town and local government area located within Nigeria’s Federal Capital Territory, serving as one of its key administrative and residential centers.
-
E.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89d961481909be8dcc2864982c9 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.