Triple
T13593118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buglere |
E324741
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Buglé |
E160527
|
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: Buglé | Statement: [Buglere, alternateName, Buglé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buglé Context triple: [Buglere, alternateName, Buglé]
-
A.
Buglé
chosen
The Buglé are an Indigenous people of western Panama, closely related to the Ngäbe and known for their distinct language, traditional subsistence farming, and communal social organization.
-
B.
Catroux
Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
-
C.
Batiste
Batiste is a French-origin surname notably associated with American musician and bandleader Jon Batiste.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Pulaski
Pulaski is a Chicago Transit Authority Blue Line rapid transit station serving the city's West Side.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.