Triple
T14476226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen |
E358979
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Carme |
E878069
|
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: Carme | Statement: [Carmen, hasVariant, Carme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carme Context triple: [Carmen, hasVariant, Carme]
-
A.
Carme
Carme is an irregular, retrograde moon of Jupiter belonging to the Carme group of outer Jovian satellites.
-
B.
Carme
chosen
Carme is a small municipality in the comarca of Anoia in Catalonia, Spain.
-
C.
Dolores de Acha
Dolores de Acha is the mother of Cuban-American actor, musician, and television producer Desi Arnaz.
-
D.
Murcia del Carmen
Murcia del Carmen is the station code designation for Murcia–El Carmen railway station, the main rail hub serving the city of Murcia in southeastern Spain.
-
E.
Soledad Sevilla
Soledad Sevilla is a renowned Spanish visual artist known for her abstract, often large-scale installations and paintings that explore light, space, and perception.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a0553081909fd88d8f39ed1a01 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.