Triple
T9441202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houilles |
E227648
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Chaves |
E190017
|
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: Chaves | Statement: [Houilles, hasTwinTown, Chaves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaves Context triple: [Houilles, hasTwinTown, Chaves]
-
A.
Chaves
chosen
Chaves is a Portuguese and Spanish surname and place name, most famously associated with the Brazilian title of the TV comedy series "El Chavo del Ocho."
-
B.
Cháves
Cháves is the Brazilian Portuguese title of the popular Mexican comedy television series "El Chavo del Ocho," centered on the misadventures of a poor boy living in a neighborhood courtyard.
-
C.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
D.
Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
-
E.
Campinho
Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105dc6b48190bd6c7d932d9f48d5 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:50 p.m.