Triple
T30488687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Ripper |
E775796
|
entity |
| Predicate | frontLineAdvance |
P126780
|
FINISHED |
| Object | advance toward the 38th parallel |
—
|
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: advance toward the 38th parallel | Statement: [Operation Ripper, frontLineAdvance, advance toward the 38th parallel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontLineAdvance Context triple: [Operation Ripper, frontLineAdvance, advance toward the 38th parallel]
-
A.
frontlineAdvance
chosen
Indicates a movement of military or conflict front lines forward into previously uncontrolled or enemy-held territory.
-
B.
frontLine
Indicates that an entity is positioned at or associated with the foremost or primary line of engagement, activity, or defense relative to others.
-
C.
frontLineFeature
Indicates that the subject is a prominent or leading characteristic that stands out at the forefront relative to others.
-
D.
frontLineDuring
Indicates that an entity is positioned at or serves on the front line during a specified time or event.
-
E.
frontLineStrength
Indicates the level of combat capability or effectiveness of forces positioned at the front line in a conflict or operation.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:13 p.m.