Triple
T22424580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penal |
E554335
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Debe |
—
|
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: Debe | Statement: [Penal, hasNearbyTown, Debe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debe Context triple: [Penal, hasNearbyTown, Debe]
-
A.
Debe
chosen
Debe is a major town in southern Trinidad known as a commercial hub and gateway to the Penal–Debe region.
-
B.
Dar
Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
-
C.
Dar
Dar is a character from the 1935 French film "Princesse Tam-Tam," which starred Josephine Baker.
-
D.
Dies
Dies is the Roman personification and goddess of Day, corresponding to the Greek goddess Hemera.
-
E.
Des
Des is a given name, typically used as a shortened form of Desmond.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2c47bc81908b8265d83fa6fb65 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.