Triple
T11068649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram tank |
E261687
|
entity |
| Predicate | frontLineService |
P97628
|
FINISHED |
| Object | primarily training and support roles |
—
|
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: primarily training and support roles | Statement: [Ram tank, frontLineService, primarily training and support roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontLineService Context triple: [Ram tank, frontLineService, primarily training and support roles]
-
A.
frontLine
Indicates that an entity is positioned at or associated with the foremost or primary line of engagement, activity, or defense relative to others.
-
B.
frontLineFeature
Indicates that the subject is a prominent or leading characteristic that stands out at the forefront relative to others.
-
C.
frontLineNear
Indicates that one entity is located close to the primary boundary or front line associated with another entity.
-
D.
frontLineRegion
Indicates that a region is located at or constitutes the primary area of direct engagement or contact in a conflict, competition, or critical situation.
-
E.
frontLineCity
Indicates that a city is located on or very near an active military front line, directly exposed to ongoing or imminent conflict.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7992164d88190a01ed567b2529227 |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.