Triple
T11988875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan Countries |
E285352
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | El Carxe |
E909504
|
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: El Carxe | Statement: [Catalan Countries, includes, El Carxe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Carxe Context triple: [Catalan Countries, includes, El Carxe]
-
A.
El Carxe
chosen
El Carxe is a small Catalan-speaking enclave in the Region of Murcia, Spain, known for its unique linguistic and cultural identity.
-
B.
Carso
Carso is a limestone plateau region in northeastern Italy and southwestern Slovenia, known for its distinctive karst landscapes, caves, and sinkholes.
-
C.
Vacarisses
Vacarisses is a small municipality in Catalonia, Spain, known for its rural character and location within the comarca of Vallès Occidental.
-
D.
La Coche
La Coche is one of the small islands in the Les Saintes archipelago in the Caribbean, known for its rugged coastline and surrounding marine life.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ae28708190a826bad1624343eb |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f472492ebc8190b064e691bb70e356 |
completed | May 1, 2026, 9:28 a.m. |
Created at: April 8, 2026, 9:46 p.m.