Triple
T31626593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F Troop |
E807040
|
entity |
| Predicate | secondSeasonFormat |
P196632
|
FINISHED |
| Object | color |
—
|
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: color | Statement: [F Troop, secondSeasonFormat, color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSeasonFormat Context triple: [F Troop, secondSeasonFormat, color]
-
A.
secondRoundFormat
Indicates the structure or rules used to organize and conduct the second round of a multi-round process or competition.
-
B.
laterSeasonsFormat
Indicates that the format or structure of something (such as a series or competition) applies specifically to its later seasons, as distinct from its original or earlier format.
-
C.
firstSeasonFormat
Indicates the specific format or structure in which the first season of something (such as a series or competition) was originally presented.
-
D.
thirdSeasonFormat
Indicates the specific structure or format used in the third season of a series, competition, or recurring event.
-
E.
secondSeasonBasedOn
Indicates that the second season of a work is adapted from or derived from another specified source.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69fe5ec84910819094cb15269ace7c51 |
completed | May 8, 2026, 10:08 p.m. |
Created at: April 30, 2026, 10:43 p.m.