Triple
T9369800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Stompers |
E225499
|
entity |
| Predicate | seasonCountInNASL |
P88191
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Oakland Stompers, seasonCountInNASL, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonCountInNASL Context triple: [Oakland Stompers, seasonCountInNASL, 1]
-
A.
seasonCountInABA
Indicates the number of seasons of something (e.g., a TV show) as counted or represented in the ABA system or context.
-
B.
seasonCountDetail
Indicates the specific number of seasons associated with something, often including additional contextual details about that season count.
-
C.
seasonNumberInConferenceHistory
Indicates the ordinal number of a particular season within the overall chronological history of a conference.
-
D.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
E.
seasonSeriesPlayedPerYear
Indicates the number of series played in a season during a given year.
- F. None of above. chosen
Provenance (4 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd508274d88190a64b79ab731ac6a1 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:43 p.m.