Triple
T19799215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrotxa |
E475624
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | La Selva |
—
|
NE NERFINISHED |
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: La Selva | Statement: [Garrotxa, borderedBy, La Selva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Selva Context triple: [Garrotxa, borderedBy, La Selva]
-
A.
La Selva
chosen
La Selva is a comarca (county) in the southern part of the Province of Girona in Catalonia, Spain, known for its mix of coastal resorts on the Costa Brava and inland forests and thermal spa towns.
-
B.
La Floresta
La Floresta is a residential neighborhood set amid wooded hills on the outskirts of Sant Cugat del Vallès, in the Barcelona metropolitan area.
-
C.
La Ceiba
La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
-
D.
La Selva del Camp
La Selva del Camp is a historic municipality in the Baix Camp comarca of Catalonia, Spain, known for its medieval architecture and surrounding rural landscapes.
-
E.
La Jagua
La Jagua is a rural municipal district within the municipality of San Juan de la Maguana in the Dominican Republic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.