Triple
T12975792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flores Airport |
E321519
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Santa Cruz das Flores |
E351895
|
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: Santa Cruz das Flores | Statement: [Flores Airport, servesCity, Santa Cruz das Flores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Cruz das Flores Context triple: [Flores Airport, servesCity, Santa Cruz das Flores]
-
A.
Santa Cruz das Flores
chosen
Santa Cruz das Flores is the main town and administrative center of Flores Island in Portugal’s Azores archipelago.
-
B.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
-
C.
São Sebastião
São Sebastião is a coastal municipality in the state of São Paulo, Brazil, known for its beaches, tourism, and role as a port city.
-
D.
São Sebastião
São Sebastião is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
E.
São Fidélis
São Fidélis is a municipality in the state of Rio de Janeiro, Brazil, known for its historic architecture and location along the Paraíba do Sul River.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e48c0208190bb7ec80780480b37 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:37 p.m.