Triple
T11481379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sharpe |
E272157
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Llafranc |
E790644
|
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: Llafranc | Statement: [Tom Sharpe, placeOfDeath, Llafranc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llafranc Context triple: [Tom Sharpe, placeOfDeath, Llafranc]
-
A.
Llafranc
chosen
Llafranc is a picturesque coastal village in Catalonia, Spain, known for its sandy beach, seafront promenade, and relaxed Mediterranean atmosphere.
-
B.
Viladrau
Viladrau is a small Catalan town in northeastern Spain, known for its natural springs and location within the Montseny Natural Park.
-
C.
Moianès
Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
-
D.
Forcalquier
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
E.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1d86b88190b180f6b0d0a27029 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604410fbc819098b101c029b63525 |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:36 p.m.