Triple
T4959342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jbel Bani |
E111364
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Zagora |
E307873
|
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: Zagora | Statement: [Jbel Bani, nearbyTown, Zagora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zagora Context triple: [Jbel Bani, nearbyTown, Zagora]
-
A.
Zagora
chosen
Zagora is a town in southeastern Morocco that serves as a gateway to the Sahara Desert and popular nearby dune fields.
-
B.
Zagora
Zagora is a traditional mountain village in eastern Pelion, Greece, known for its stone-built houses, rich history, and views over the Aegean Sea.
-
C.
Almeria
Almeria is a coastal municipality on Biliran Island in the Philippines known for its scenic beaches and rural landscapes.
-
D.
Teguise
Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
-
E.
Alzira
Alzira is a historic town and municipality in eastern Spain known for its agricultural heritage and location along the Júcar River in the Valencian Community.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d957cc8190b82fdd1ca61924bf |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e4ccc4819090223633fdb04eee |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.