Triple
T15948599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliveira do Bairro |
E386752
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Anadia |
E374159
|
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: Anadia | Statement: [Oliveira do Bairro, borderedBy, Anadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anadia Context triple: [Oliveira do Bairro, borderedBy, Anadia]
-
A.
Anadia
chosen
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
-
B.
Armona
Armona is a small unincorporated community located in California’s San Joaquin Valley.
-
C.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
-
D.
Adra
Adra is a small settlement located within Harku Parish in northern Estonia.
-
E.
Adra
Adra is a coastal municipality in the southwestern part of Spain’s Province of Almería, known for its fishing port and agricultural production.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d3cc04819097367369a78d6ef2 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe76df6481909f8246099faa377a |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.