Triple
T14557172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trabzon campaign |
E341568
|
entity |
| Predicate | frontlineDirection |
P13445
|
FINISHED |
| Object | advance along the Black Sea coast |
—
|
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 along the Black Sea coast | Statement: [Trabzon campaign, frontlineDirection, advance along the Black Sea coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontlineDirection Context triple: [Trabzon campaign, frontlineDirection, advance along the Black Sea coast]
-
A.
frontLineDirection
chosen
Indicates the primary orientation or bearing in which the front line of a conflict, formation, or boundary is facing or advancing.
-
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.
frontLineNear
Indicates that one entity is located close to the primary boundary or front line associated with another entity.
-
D.
frontLineBetween
Indicates that a boundary or line of direct confrontation exists separating two opposing sides or regions.
-
E.
frontLineFeature
Indicates that the subject is a prominent or leading characteristic that stands out at the forefront relative to others.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.