Triple
T30182083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonidas 1 |
E767227
|
entity |
| Predicate | carriedPersonnelType |
P169714
|
FINISHED |
| Object | infantry |
—
|
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: infantry | Statement: [Leonidas 1, carriedPersonnelType, infantry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedPersonnelType Context triple: [Leonidas 1, carriedPersonnelType, infantry]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
carriedPrisonersFrom
Indicates that an entity transported prisoners away from a specified origin location or source.
-
C.
carriesCrewOf
Indicates that one entity serves as the vehicle or vessel that transports the crew belonging to another entity.
-
D.
carriedAircraftRole
Indicates the functional role or mission type that an aircraft serves when it is carried by another platform (such as a ship or larger aircraft).
-
E.
canBeBorneBy
Indicates that one entity is capable of being carried, supported, or transported by another entity.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 7:26 p.m.