Triple
T15957300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Hammadi Agrebi |
E386968
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Radès |
E394133
|
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: Radès | Statement: [Stade Hammadi Agrebi, locatedIn, Radès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radès Context triple: [Stade Hammadi Agrebi, locatedIn, Radès]
-
A.
Radès
chosen
Radès is a coastal city in northern Tunisia known for its major sports facilities, including the national stadium that hosts prominent football clubs and international events.
-
B.
Benslimane
Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
-
C.
Boucha
Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
-
D.
Maaloula
Maaloula is a historic Syrian mountain village renowned as one of the last places where Western Neo-Aramaic, a modern descendant of the language of Jesus, is still spoken.
-
E.
Boujad
Boujad is a town in central Morocco known for its traditional crafts and cultural heritage.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fc6f348190b49c4858281a0904 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7e76d481909e6f1d1ea33edd60 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.