Triple
T27678239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | yellow crazy ant |
E697836
|
entity |
| Predicate | controlChallenges |
P179204
|
FINISHED |
| Object | large supercolony size |
—
|
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: large supercolony size | Statement: [yellow crazy ant, controlChallenges, large supercolony size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlChallenges Context triple: [yellow crazy ant, controlChallenges, large supercolony size]
-
A.
trainingChallenges
Indicates difficulties, obstacles, or problems encountered during a training process or training-related activities.
-
B.
challengesModel
Indicates that one entity questions, disputes, or puts to the test the validity, performance, or assumptions of another entity’s model.
-
C.
facedChallenges
Indicates that an entity has encountered and had to deal with difficulties, obstacles, or adverse conditions.
-
D.
operationalChallenge
Indicates that an entity faces difficulties, obstacles, or inefficiencies in carrying out its regular operations or processes.
-
E.
currentChallenges
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 27, 2026, 2:45 p.m.