Triple
T5658852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Limburg |
E124685
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Peer |
E237927
|
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: Peer | Statement: [Flemish Limburg, hasMunicipality, Peer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peer Context triple: [Flemish Limburg, hasMunicipality, Peer]
-
A.
Peer
chosen
Peer is a municipality in the Belgian province of Limburg, known in part for hosting the Kleine-Brogel Air Base.
-
B.
Friend
Friend is a given name that can be used as a first name, as in the case of Friend Richardson.
-
C.
Usery
Usery is a surname most notably associated with William J. Usery Jr., a prominent American labor union activist and U.S. Secretary of Labor.
-
D.
Bob Friend
Bob Friend was a standout right-handed pitcher best known for his long and successful career with the Pittsburgh Pirates, including helping them win the 1960 World Series.
-
E.
Persona
Persona is a 1966 Swedish psychological drama film by Ingmar Bergman, renowned for its experimental narrative, intense character study, and exploration of identity and reality.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022fd9b148190bd4aa9c43500949f |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da37ffc819095f33e7e66e7c1d0 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.