Triple
T947994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Suribachi |
E20455
|
entity |
| Predicate | battleDateContext |
P12482
|
FINISHED |
| Object | February–March 1945 |
—
|
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: February–March 1945 | Statement: [Mount Suribachi, battleDateContext, February–March 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battleDateContext Context triple: [Mount Suribachi, battleDateContext, February–March 1945]
-
A.
battleDateRelation
Indicates the temporal relationship specifying on which date a particular battle or combat event took place.
-
B.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
C.
battleDateRange
chosen
Indicates the time span during which a particular battle or military engagement took place.
-
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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3be19448190a8863fce3d152430 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.