Triple
T15567673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ílhavo |
E374157
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Aveiro Lagoon |
E1052936
|
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: Aveiro Lagoon | Statement: [Ílhavo, locatedNear, Aveiro Lagoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aveiro Lagoon Context triple: [Ílhavo, locatedNear, Aveiro Lagoon]
-
A.
Aveiro Lagoon
chosen
Aveiro Lagoon is a coastal lagoon in central Portugal known for its canals, traditional moliceiro boats, and rich wetland ecosystems.
-
B.
Lagos de Covadonga
Lagos de Covadonga is a pair of scenic high-mountain glacial lakes in northern Spain, renowned for their dramatic alpine setting and popularity as a hiking and cycling destination.
-
C.
Lagoa
Lagoa is a town and municipality in Portugal’s Algarve region, known for its coastal scenery, beaches, and wine production.
-
D.
Lagoa
Lagoa is an affluent lakeside neighborhood in Rio de Janeiro, Brazil, known for its scenic Rodrigo de Freitas Lagoon, upscale residential areas, and recreational waterfront paths.
-
E.
Lagoa (Algarve)
Lagoa is a coastal municipality in Portugal’s Algarve region, known for its dramatic cliffs, sandy beaches, and popular resort areas such as Carvoeiro.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.