Triple
T35581590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tic-Tac-Toe |
E1028236
|
entity |
| Predicate | hasTypicalMarks |
P30201
|
FINISHED |
| Object | X |
—
|
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: X | Statement: [Tic-Tac-Toe, hasTypicalMarks, X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalMarks Context triple: [Tic-Tac-Toe, hasTypicalMarks, X]
-
A.
hasAdditionalMarks
Indicates that an entity possesses extra or supplementary markings beyond its primary or standard ones.
-
B.
hasTypicalAppearance
Indicates that an entity exhibits the standard or commonly expected visual form or look associated with its kind.
-
C.
mayHaveMarkings
chosen
Indicates that an entity is permitted or able to possess certain markings or distinguishing signs.
-
D.
hasTypicalSubject
Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
-
E.
reportedMarks
Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
Created at: May 3, 2026, 4:04 p.m.