Triple
T14314391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Majadahonda |
E354915
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Monte del Pilar |
E412310
|
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 del Pilar | Statement: [Majadahonda, hasPark, Monte del Pilar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte del Pilar Context triple: [Majadahonda, hasPark, Monte del Pilar]
-
A.
Monte del Pilar
chosen
Monte del Pilar is a large natural park and green area in Majadahonda, Spain, known for its Mediterranean woodland, walking trails, and recreational spaces.
-
B.
Monte Igueldo
Monte Igueldo is a scenic coastal mountain in San Sebastián, Spain, known for its historic funicular, amusement park, and panoramic views over La Concha Bay.
-
C.
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.
-
D.
Monte Rey
Monte Rey is an otter character known by the shortened name "Monte Rey."
-
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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4687c6bc819088452892128c420e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.