Triple
T37458597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Threes! |
E930860
|
entity |
| Predicate | tileCombinationRule |
P6730
|
FINISHED |
| Object | 1 and 2 combine to make 3 |
—
|
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 and 2 combine to make 3 | Statement: [Threes!, tileCombinationRule, 1 and 2 combine to make 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tileCombinationRule Context triple: [Threes!, tileCombinationRule, 1 and 2 combine to make 3]
-
A.
compositionRule
chosen
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
-
B.
isConsideredCombinationOf
Indicates that something is regarded as being formed by or equivalent to a specific combination of other things or components.
-
C.
typicalCombinationWith
Indicates that one entity is commonly or characteristically used, found, or occurs together in combination with another entity.
-
D.
groupingRule
Indicates a rule or criterion that defines how multiple entities are grouped or clustered together based on shared characteristics or conditions.
-
E.
ticketCombination
Indicates a relationship where multiple individual tickets are grouped or linked together as a single combined ticket or ticket set.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.