Triple
T13135182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microstigmus |
E312063
|
entity |
| Predicate | hasDivisionOfLabor |
P108359
|
FINISHED |
| Object | reproductive and non-reproductive females |
—
|
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: reproductive and non-reproductive females | Statement: [Microstigmus, hasDivisionOfLabor, reproductive and non-reproductive females]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDivisionOfLabor Context triple: [Microstigmus, hasDivisionOfLabor, reproductive and non-reproductive females]
-
A.
labourOf
Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
-
B.
hasManualLabor
Indicates that one entity performs or is responsible for physical or manual work in relation to another entity or context.
-
C.
isDividedFrom
Indicates that one entity is separated or partitioned from another, typically by a boundary, barrier, or dividing line.
-
D.
dividedIn
Indicates that one entity is partitioned or separated into multiple distinct parts, sections, or groups represented by another entity.
-
E.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
- F. None of above. chosen
Provenance (4 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b3d72c8190b69ae56435a954fa |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d980e622e8819087a69bfb1660dd64 |
completed | April 10, 2026, 10:59 p.m. |
Created at: April 9, 2026, 9:08 p.m.