Triple
T15759282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arraiolos Municipality |
E382049
|
entity |
| Predicate | hasTraditionalProduct |
P3585
|
FINISHED |
| Object | Arraiolos rug |
E380683
|
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: Arraiolos rug | Statement: [Arraiolos Municipality, hasTraditionalProduct, Arraiolos rug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arraiolos rug Context triple: [Arraiolos Municipality, hasTraditionalProduct, Arraiolos rug]
-
A.
Arraiolos
chosen
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
B.
Llagostera
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
-
C.
Sarralbe
Sarralbe is a small commune in northeastern France known for its location in the Moselle department near the German border.
-
D.
Grua
Grua is a small village in Lunner Municipality in Viken county, Norway, known as a local residential community in the Hadeland region.
-
E.
Larrea
Larrea is a genus of hardy desert shrubs in the caltrop family, best known for the creosote bush that dominates many arid landscapes of the Americas.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b35ea48190a758ee76a57b5451 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998397688190a77b6a7c5b542f7e |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:47 a.m.