Triple
T22424581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penal |
E554335
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Siparia |
—
|
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: Siparia | Statement: [Penal, hasNearbyTown, Siparia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siparia Context triple: [Penal, hasNearbyTown, Siparia]
-
A.
Siparia
chosen
Siparia is a town in southern Trinidad known historically for its oil industry and its multicultural religious pilgrimage site, La Divina Pastora.
-
B.
Pia Guerra
Pia Guerra is a Canadian comic book artist best known for her acclaimed work on the Vertigo series "Y: The Last Man."
-
C.
Mariza
Mariza is a renowned contemporary Portuguese fado singer celebrated for revitalizing and popularizing the genre worldwide.
-
D.
Simaria
Simaria is a Brazilian singer best known as one half of the sertanejo duo Simone & Simaria, recognized for their popular hits in Brazil’s contemporary country and pop music scene.
-
E.
Rosalia
Rosalia is a character in the musical "West Side Story," depicted as a young Puerto Rican woman who is part of the Sharks' community.
- 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.