Triple
T1738848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fóia |
E37982
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Monchique |
E37978
|
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: Monchique | Statement: [Fóia, nearSettlement, Monchique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monchique Context triple: [Fóia, nearSettlement, Monchique]
-
A.
Monchique
chosen
Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
-
B.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
-
C.
Monte Toro
Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
-
D.
Sierre
Sierre is a municipality and important regional center in the canton of Valais in southwestern Switzerland, known for its wine production and bilingual French-German culture.
-
E.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c35aec8190b5c19ace5524173f |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b354b08190a776126555880de5 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:30 p.m.