Triple
T16886651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South China tiger |
E421556
|
entity |
| Predicate | bodyMassComparedToOtherTigers |
P62520
|
FINISHED |
| Object | relatively small |
—
|
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: relatively small | Statement: [South China tiger, bodyMassComparedToOtherTigers, relatively small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyMassComparedToOtherTigers Context triple: [South China tiger, bodyMassComparedToOtherTigers, relatively small]
-
A.
lionWeight
Indicates the weight or mass attributed to a lion.
-
B.
التيجان والأوسمة
Indicates the relationship of conferring, wearing, or possessing crowns and decorations (such as medals or orders of honor) as marks of rank, distinction, or recognition.
-
C.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
-
D.
physicalCharacteristics
chosen
Indicates that one entity has or describes the bodily or material attributes, features, or appearance of another entity.
-
E.
memberSpecies
Indicates that a particular species is a constituent or member of a larger biological or taxonomic group.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.