Triple
T16361496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarouca |
E397321
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Tarouca (city) |
E397321
|
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: Tarouca (city) | Statement: [Tarouca, hasMunicipalSeat, Tarouca (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarouca (city) Context triple: [Tarouca, hasMunicipalSeat, Tarouca (city)]
-
A.
Tarouca
chosen
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
-
B.
Tulco
Tulco is a business entity, formally known as Tulco LLC, that operates under the shorter trade name Tulco.
-
C.
Farkadona town
Farkadona town is a small urban center in central Greece that serves as the local hub for administration, commerce, and services within the surrounding rural area.
-
D.
Villacarrillo
Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
-
E.
Casiguran town
Casiguran is a coastal municipality in the Philippines known for its proximity to Bulusan Volcano and its largely rural, agricultural communities.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad304448190b3f6f0350a1e151d |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbeabe081909e3d02676293e8b2 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.