Triple
T37876878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formics |
E944747
|
entity |
| Predicate | soldierClass |
P16730
|
FINISHED |
| Object | Formic soldiers |
—
|
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: Formic soldiers | Statement: [Formics, soldierClass, Formic soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldierClass Context triple: [Formics, soldierClass, Formic soldiers]
-
A.
soldierCaste
chosen
Indicates that an entity belongs to, or is characterized as part of, a soldier or warrior class within a social or organizational hierarchy.
-
B.
hasMilitaryClass
Indicates that an entity belongs to, is assigned to, or is categorized under a specific military class or classification.
-
C.
hasSoldier
Indicates that one entity possesses, employs, or is associated with a soldier or group of soldiers.
-
D.
wasProfessionalSoldier
Indicates that an individual served as a professional soldier, engaging in military service as their primary occupation.
-
E.
decoratedSoldier
Indicates that a soldier has been formally recognized with one or more military awards or honors for their service or actions.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.