Triple
T2663294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukla Pass |
E54773
|
entity |
| Predicate | majorBattleDateRange |
P12482
|
FINISHED |
| Object | September 1944 – October 1944 |
—
|
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: September 1944 – October 1944 | Statement: [Dukla Pass, majorBattleDateRange, September 1944 – October 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorBattleDateRange Context triple: [Dukla Pass, majorBattleDateRange, September 1944 – October 1944]
-
A.
battleDateRange
chosen
Indicates the time span during which a particular battle or military engagement took place.
-
B.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
C.
endDateOfMajorBattle
Indicates the calendar date on which a major battle or significant military engagement came to an end.
-
D.
battleOccurred
Indicates that a conflict or combat event took place between specified parties at a particular time and/or location.
-
E.
yearOfBattle
Indicates the specific calendar year in which a particular battle took place.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96b9f1c8190a8a9460ca88a9aaf |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.