Triple
T19361017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco Marto |
E484278
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Aljustrel |
—
|
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: Aljustrel | Statement: [Francisco Marto, placeOfBirth, Aljustrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aljustrel Context triple: [Francisco Marto, placeOfBirth, Aljustrel]
-
A.
Aljustrel
chosen
Aljustrel is a Portuguese town and municipality in the Alentejo region known historically for its mining activities, particularly copper and pyrite extraction.
-
B.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
-
C.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
-
D.
Guadix
Guadix is a historic Andalusian town in southern Spain, noted for its cave dwellings and impressive cathedral set against the Sierra Nevada foothills.
-
E.
Villena
Villena is a historic city in the province of Alicante, Spain, known for its medieval castle, archaeological heritage, and traditional festivals.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190c2a8081908f48dfa738248ec8 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.