Triple
T16150349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrmica |
E391892
|
entity |
| Predicate | queenNumberPerColony |
P121327
|
FINISHED |
| Object | monogynous in some species |
—
|
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: monogynous in some species | Statement: [Myrmica, queenNumberPerColony, monogynous in some species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: queenNumberPerColony Context triple: [Myrmica, queenNumberPerColony, monogynous in some species]
-
A.
colonyCastes
Indicates a relationship where a colony is organized into distinct social or functional castes or roles.
-
B.
hasQueenCaste
Indicates that an entity possesses or includes a queen caste within its social or organizational structure.
-
C.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
D.
queenLength
Indicates the length or duration associated with a queen in the given context.
-
E.
colonyColor
Indicates the characteristic color exhibited by a colony (such as a microbial or biological colony) as an observable trait.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9724808190a8332987583a345a |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.