Triple
T4830767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climax Series |
E107938
|
entity |
| Predicate | firstStageVisitor |
P59917
|
FINISHED |
| Object | third-place team in league |
—
|
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: third-place team in league | Statement: [Climax Series, firstStageVisitor, third-place team in league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStageVisitor Context triple: [Climax Series, firstStageVisitor, third-place team in league]
-
A.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
B.
firstStageEngine
Indicates that an engine functions as the primary propulsion unit used in the first stage of a multi-stage launch vehicle or rocket.
-
C.
firstStageName
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
-
D.
firstStageDescription
Indicates that the value provides a textual explanation or summary of the initial or earliest stage in a multi-stage process or sequence.
-
E.
wasFirstVisitedBy
Indicates that a particular entity was initially reached, discovered, or visited by another specified entity before any others.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:24 p.m.