Triple
T10277646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrecife Airport |
E241009
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Arrecife |
E163859
|
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: Arrecife | Statement: [Arrecife Airport, cityServed, Arrecife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arrecife Context triple: [Arrecife Airport, cityServed, Arrecife]
-
A.
Arrecife
chosen
Arrecife is the capital and main port city of the Spanish island of Lanzarote in the Canary Islands, known for its coastal promenades and volcanic island surroundings.
-
B.
Cayo Ballena
Cayo Ballena is a small offshore islet belonging to the Puerto Rican island municipality of Culebra in the Caribbean.
-
C.
Cayo Ensenachos
Cayo Ensenachos is a small resort island off Cuba’s northern coast, known for its secluded white-sand beaches and all-inclusive tourist complexes.
-
D.
Cayo Saetía
Cayo Saetía is a small Cuban island known for its secluded beaches, wildlife reserve, and safari-style excursions within the Holguín province.
-
E.
Isla de los Alacranes
Isla de los Alacranes is a small, scorpion-shaped island and popular tourist spot located in Lake Chapala, Jalisco, Mexico.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d29f0cf08190a2c5e7523d5c731e |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cf7f644819085dd687b286004ad |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:37 a.m.