Triple
T3085487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buglere language |
E64360
|
entity |
| Predicate | hasAlternativeName |
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 language, hasAlternativeName, Buglé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buglé Context triple: [Buglere language, hasAlternativeName, 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.
Bellhorn
Bellhorn is the surname of former Major League Baseball infielder Mark Bellhorn, known for his key role with the Boston Red Sox during their 2004 championship season.
-
D.
Galich
Galich is a historic Russian town in Kostroma Oblast known for its medieval origins and its location on the shores of Lake Galichskoye.
-
E.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1eac5548190bee60ea8262c65a8 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89e6f5c8190993794e2c9977ee6 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.