Triple
T24766501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kia Sorento (PBA) |
E619597
|
entity |
| Predicate | franchiseEntrySeason |
P21401
|
FINISHED |
| Object | 2014–15 PBA season |
—
|
LITERAL 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: 2014–15 PBA season | Statement: [Kia Sorento (PBA), franchiseEntrySeason, 2014–15 PBA season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseEntrySeason Context triple: [Kia Sorento (PBA), franchiseEntrySeason, 2014–15 PBA season]
-
A.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
B.
franchiseSeasonNumber
Indicates the specific season number assigned to an installment within a larger franchise series.
-
C.
franchiseStartSeason
chosen
Indicates the season in which a particular franchise or series first began or was introduced.
-
D.
franchiseRecord
Indicates a record of performance, achievement, or statistics that is the best or most significant within a particular franchise or organization.
-
E.
franchiseEra
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
- F. None of above.
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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a6a5d08190b8f518b3cc13a2e7 |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:28 a.m.