Triple
T14799428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algarve municipalities |
E347866
|
entity |
| Predicate | include |
P1393
|
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: [Algarve municipalities, include, Monchique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monchique Context triple: [Algarve municipalities, include, 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 Francés
Monte Francés is a mountain that forms the highest peak on Isla Hoste in the remote southern region of Chilean Patagonia.
-
C.
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.
-
D.
Monte Soro
Monte Soro is a prominent mountain peak in northeastern Sicily, Italy, known as the highest summit of the Nebrodi mountain range.
-
E.
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.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a4f71881909c3c1cc09fe89a60 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:31 a.m.