Triple
T692162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formicidae |
E13817
|
entity |
| Predicate | typicalColonyMembers |
P2776
|
FINISHED |
| Object | queen |
—
|
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: queen | Statement: [Formicidae, typicalColonyMembers, queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColonyMembers Context triple: [Formicidae, typicalColonyMembers, queen]
-
A.
typicalMembers
chosen
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
C.
operatedInColony
Indicates that an entity conducted operations or activities within a specific colony.
-
D.
inhabitedBy
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
-
E.
numberOfColoniesRepresented
Indicates the count of distinct colonies that are represented or involved in relation to a given entity or 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b05f2c8190876c73db15b489a2 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.