Triple
T21363233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oeiras |
E526837
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Queijas |
—
|
NE NERFINISHED |
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: Queijas | Statement: [Oeiras, contains, Queijas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queijas Context triple: [Oeiras, contains, Queijas]
-
A.
Queijas
chosen
Queijas is a civil parish in the municipality of Oeiras, in the Lisbon District of Portugal, forming part of the suburban area west of Lisbon.
-
B.
Queijo Nisa
Queijo Nisa is a Portuguese sheep’s milk cheese from the Alentejo region, known for its firm texture, slightly tangy flavor, and traditional artisanal production.
-
C.
Queijo Serpa
Queijo Serpa is a renowned Portuguese sheep’s milk cheese from the Alentejo region, prized for its soft, creamy texture and strong, slightly spicy flavor.
-
D.
Queijo de São Jorge
Queijo de São Jorge is a traditional, robustly flavored cow’s milk cheese from Portugal’s São Jorge Island in the Azores, renowned for its firm texture and long aging.
-
E.
Queso
"Queso" is a track by rapper Lil Uzi Vert featured on his mixtape *Luv Is Rage*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06cbcb481909ec9014da3b0a18a |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:08 p.m.