Triple
T4138434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasius niger |
E89212
|
entity |
| Predicate | queenLongevity |
P53730
|
FINISHED |
| Object | up to about 15 years or more in captivity |
—
|
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: up to about 15 years or more in captivity | Statement: [Lasius niger, queenLongevity, up to about 15 years or more in captivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queenLongevity Context triple: [Lasius niger, queenLongevity, up to about 15 years or more in captivity]
-
A.
queenLength
chosen
Indicates the length or duration associated with a queen in the given context.
-
B.
endTimeAsQueenConsort
Indicates the date and time at which an individual’s tenure as queen consort comes to an end.
-
C.
monarchMother
Indicates that one entity is the mother of another entity who holds or held a monarchical position (such as king, queen, emperor, etc.).
-
D.
reignDuration
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
E.
queensMainLine
Indicates a primary or central connection or route associated with Queens, often representing the main line of travel, communication, or linkage within that context.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.