Triple
T35597157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M3 half-track |
E1028662
|
entity |
| Predicate | carryingCapacity |
P183435
|
FINISHED |
| Object | about 10–12 troops |
—
|
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: about 10–12 troops | Statement: [M3 half-track, carryingCapacity, about 10–12 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carryingCapacity Context triple: [M3 half-track, carryingCapacity, about 10–12 troops]
-
A.
captivePopulation
Indicates that the entities are part of a population kept in captivity, such as in zoos, aquariums, or breeding facilities, rather than living in the wild.
-
B.
sleepingCapacity
Indicates the maximum number of people or occupants that can sleep in or be accommodated for sleeping by something.
-
C.
hasResidenceCapacityFor
Indicates that an entity’s residence can accommodate or provide living space for a specified number or type of occupants.
-
D.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
E.
dailyCapacity
Indicates the maximum amount of something that can be produced, processed, or handled within a single day.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.