Triple
T20229441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokmak |
E495475
|
entity |
| Predicate | nearFrontline |
P61842
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tokmak, nearFrontline, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearFrontline Context triple: [Tokmak, nearFrontline, yes]
-
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.
frontLineNear
chosen
Indicates that one entity is located close to the primary boundary or front line associated with another entity.
-
C.
frontlineAdvance
Indicates a movement of military or conflict front lines forward into previously uncontrolled or enemy-held territory.
-
D.
frontLineDuring
Indicates that an entity is positioned at or serves on the front line during a specified time or event.
-
E.
frontlineUse
Indicates that something is used as the primary or first-line option in addressing a problem, condition, or situation.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdc2590819089a946d16c6c0e59 |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.