Triple
T12879663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estany de Sant Maurici |
E308057
|
entity |
| Predicate | accessPoint |
P1985
|
FINISHED |
| Object | Espot |
E1007816
|
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: Espot | Statement: [Estany de Sant Maurici, accessPoint, Espot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espot Context triple: [Estany de Sant Maurici, accessPoint, Espot]
-
A.
Espot
chosen
Espot is a small mountain village in the Catalan Pyrenees that serves as a main gateway to Aigüestortes i Estany de Sant Maurici National Park.
-
B.
Esposende
Esposende is a coastal city and municipality in northern Portugal, known for its Atlantic beaches, natural parks, and traditional fishing heritage.
-
C.
Escamp
Escamp is a largely residential district in the southwest of The Hague in the Netherlands, known for its post-war housing and diverse population.
-
D.
Etsaut
Etsaut is a small mountain commune in southwestern France, located in the Pyrenees near the Spanish border.
-
E.
Spaeny
Spaeny is the surname of American actress and singer Cailee Spaeny, known for her roles in films like "Pacific Rim: Uprising" and "Priscilla."
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55393a88190a88c9357a6db5aec |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:39 p.m.