Triple
T9964497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queijo Serpa |
E195646
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Serpa |
E195642
|
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: Serpa | Statement: [Queijo Serpa, namedAfter, Serpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serpa Context triple: [Queijo Serpa, namedAfter, Serpa]
-
A.
Serpa
chosen
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
-
B.
Abrantes
Abrantes is a historic Portuguese city in the Santarém District, known for its hilltop castle and strategic location overlooking the Tagus River.
-
C.
Vinhais
Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
-
D.
Gouveia
Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
-
E.
Golegã
Golegã is a Portuguese town famed for its equestrian traditions and annual horse fair, located in the Centro Region of Portugal.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71a33b48190a18c1a9023f249d2 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e531dfa48190b57fcd2444de1ab7 |
completed | April 5, 2026, 10:41 p.m. |
Created at: March 30, 2026, 8:47 p.m.