Triple
T31722721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonggong |
E809629
|
entity |
| Predicate | isLargeForTNO |
P98478
|
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: [Gonggong, isLargeForTNO, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargeForTNO Context triple: [Gonggong, isLargeForTNO, true]
-
A.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
B.
hasDiameterClass
chosen
Indicates that an entity is associated with a specific category or range based on the size of its diameter.
-
C.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
-
D.
hasRegulationSize
Indicates that something conforms to an officially defined or standard size specified by rules or regulations.
-
E.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:19 p.m.