Triple
T14320178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The REP |
E355063
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | The REP |
E355063
|
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: The REP | Statement: [The REP, shortName, The REP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The REP Context triple: [The REP, shortName, The REP]
-
A.
The REP
chosen
The REP is a prominent producing theatre in Birmingham, England, known for staging a wide range of contemporary and classic plays.
-
B.
Reps
Reps is a historic Transylvanian town in present-day Romania, known for its Saxon heritage and medieval architecture.
-
C.
Repre
Repre is the popular nickname for the Slovakia men's national ice hockey team, used by fans and media to refer to the national squad.
-
D.
Reps – Rupea
Reps – Rupea is a historic Transylvanian town in present-day Romania, known for its medieval fortress and Saxon heritage.
-
E.
RUPP
RUPP is Cambodia’s largest and oldest public university, located in Phnom Penh and known for its wide range of undergraduate and graduate programs.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883bf71c8190a9a092a025cf98f0 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468c4a7c8190951adb28e1d71365 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.