Triple
T3546326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algeciras |
E75004
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ceuta |
E27777
|
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: Ceuta | Statement: [Algeciras, connectsTo, Ceuta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ceuta Context triple: [Algeciras, connectsTo, Ceuta]
-
A.
Ceuta
chosen
Ceuta is a small Spanish autonomous city on the north coast of Africa, bordering Morocco and strategically located at the Strait of Gibraltar.
-
B.
Melilla
Melilla is a Spanish autonomous city located on the north coast of Africa, bordering Morocco and serving as a key enclave between Europe and Africa.
-
C.
Algeciras
Algeciras is a major port city in southern Spain, strategically located near the Strait of Gibraltar and serving as a key hub for maritime trade between Europe and Africa.
-
D.
Algeciras
Algeciras is a municipality in the Huila Department of southwestern Colombia, known for its agricultural economy and Andean rural landscapes.
-
E.
Aljezur
Aljezur is a historic coastal town and municipality in southwestern Portugal known for its medieval castle, whitewashed houses, and unspoiled beaches within the Algarve region.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfcf64488190af8452308734028c |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38be29b408190a8dba8c8ae2485a4 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.