Triple
T29106927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igo |
E736785
|
entity |
| Predicate | hasNoChanceElements |
P200178
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Igo, hasNoChanceElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoChanceElements Context triple: [Igo, hasNoChanceElements, true]
-
A.
hasNoChanceMoves
Indicates that an entity has no available moves or actions it can perform in the given context.
-
B.
canBeWonWithout
Indicates that a goal, contest, or outcome can be successfully achieved without the involvement, use, or occurrence of a specified entity or condition.
-
C.
hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
-
D.
hasNoEffective
Indicates that one entity lacks any effective influence, impact, or valid effect on another entity or condition.
-
E.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
| PDg | Predicate description generation | batch_69ff79e645c08190a974b5239efac35b |
completed | May 9, 2026, 6:16 p.m. |
Created at: April 28, 2026, 11:16 a.m.