Triple
T13303233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironès |
E316865
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Pla de l’Estany |
E712392
|
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: Pla de l’Estany | Statement: [Gironès, borders, Pla de l’Estany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pla de l’Estany Context triple: [Gironès, borders, Pla de l’Estany]
-
A.
Pla de l'Estany
chosen
Pla de l'Estany is a small inland comarca in northeastern Catalonia, Spain, known for its lakeside landscapes around Banyoles and its mix of rural and historical heritage.
-
B.
Pedralbes
Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
-
C.
Pallejà
Pallejà is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona along the Llobregat River.
-
D.
Torrelles de Llobregat
Torrelles de Llobregat is a small municipality in the Baix Llobregat comarca of Catalonia, Spain, known for its hilly landscape and proximity to Barcelona.
-
E.
Baix Camp
Baix Camp is a coastal comarca in the province of Tarragona, Catalonia, Spain, known for its capital Reus and its mix of Mediterranean coastline and inland agricultural areas.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.