Triple
T4255579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierre |
E95964
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Annaba |
E33533
|
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: Annaba | Statement: [Sierre, hasTwinTown, Annaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annaba Context triple: [Sierre, hasTwinTown, Annaba]
-
A.
Annaba
chosen
Annaba is a major port city in northeastern Algeria, known for its Mediterranean coastline, industrial activity, and historical significance.
-
B.
Medeba
Medeba is an ancient city east of the Dead Sea, known from biblical accounts and later as a significant settlement in the region of Moab.
-
C.
Radès
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.
-
D.
Annaba Province
Annaba Province is an administrative region in northeastern Algeria, centered around the coastal city of Annaba and known for its Mediterranean shoreline and industrial activities.
-
E.
Beji
Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88a68f081909e5bae5b0414f534 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.