Triple
T15704991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arraiolos |
E380683
|
entity |
| Predicate | hasTraditionalProduct |
P3585
|
FINISHED |
| Object |
tapetes de Arraiolos
Tapetes de Arraiolos are traditional hand-embroidered wool rugs from the Portuguese town of Arraiolos, renowned for their intricate designs and centuries-old craftsmanship.
|
E380683
|
NE FINISHED |
How this triple was built (4 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: tapetes de Arraiolos | Statement: [Arraiolos, hasTraditionalProduct, tapetes de Arraiolos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tapetes de Arraiolos Context triple: [Arraiolos, hasTraditionalProduct, tapetes de Arraiolos]
-
A.
Arraiolos
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
B.
Paderne
Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
-
C.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
D.
Painho e Figueiros
Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
-
E.
Mosteiros
Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: tapetes de Arraiolos Triple: [Arraiolos, hasTraditionalProduct, tapetes de Arraiolos]
Generated description
Tapetes de Arraiolos are traditional hand-embroidered wool rugs from the Portuguese town of Arraiolos, renowned for their intricate designs and centuries-old craftsmanship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tapetes de Arraiolos Target entity description: Tapetes de Arraiolos are traditional hand-embroidered wool rugs from the Portuguese town of Arraiolos, renowned for their intricate designs and centuries-old craftsmanship.
-
A.
Arraiolos
chosen
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
B.
Paderne
Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
-
C.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
D.
Painho e Figueiros
Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
-
E.
Mosteiros
Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
- F. None of above.
Provenance (5 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6fc3608190a85b25755f5345db |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff7653ccc08190b4b44b4f55344f65 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76d21a148190bbe66c3ff12386f3 |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 10, 2026, 4:45 a.m.