Triple
T23137821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borislav |
E577368
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Boro |
—
|
NE NERFINISHED |
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: Boro | Statement: [Borislav, shortForm, Boro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boro Context triple: [Borislav, shortForm, Boro]
-
A.
Boro
Boro is the commonly used nickname for Middlesbrough Football Club, a professional English football team based in Middlesbrough.
-
B.
Boro
Boro is a Tibeto-Burman language spoken primarily by the Boro people in the northeastern Indian state of Assam.
-
C.
Boroillots
Boroillots are the inhabitants of the French commune of Valentigney in the Bourgogne-Franche-Comté region.
-
D.
Birk
Birk is a surname most notably associated with Matt Birk, a former American football center and Super Bowl champion.
-
E.
Orio
Orio is a small coastal town in Spain’s Basque Country, known for its fishing heritage, beaches, and traditional rowing culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8d6c20819085e8c2f97bc7fd5d |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.