Triple
T4148175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Gordo Beach |
E89838
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Monte Gordo |
E89837
|
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: Monte Gordo | Statement: [Monte Gordo Beach, locatedIn, Monte Gordo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Gordo Context triple: [Monte Gordo Beach, locatedIn, Monte Gordo]
-
A.
Monte Gordo
chosen
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
-
B.
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.
-
C.
Monte Soro
Monte Soro is a prominent mountain peak in northeastern Sicily, Italy, known as the highest summit of the Nebrodi mountain range.
-
D.
Monte de El Pardo
Monte de El Pardo is a large protected forested area and royal hunting estate on the outskirts of Madrid, Spain, known for its Mediterranean woodland and rich wildlife.
-
E.
Monte Granero
Monte Granero is a prominent mountain peak in the western Italian Alps, known for its rugged terrain and scenic alpine landscapes.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02624a9c8190900e42e845ab7e4f |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3136c48190b158142311bfbc6d |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.