Triple
T10542427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinsha Township |
E248728
|
entity |
| Predicate | hasHistoricalPeriodOfMilitarization |
P63912
|
FINISHED |
| Object | Cold War era |
—
|
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: Cold War era | Statement: [Jinsha Township, hasHistoricalPeriodOfMilitarization, Cold War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalPeriodOfMilitarization Context triple: [Jinsha Township, hasHistoricalPeriodOfMilitarization, Cold War era]
-
A.
wasMilitarizedDuring
chosen
Indicates that an entity transitioned to or adopted a military character, role, or control during a specified time period or event.
-
B.
wasMilitarized
Indicates that an entity underwent a process of being organized, equipped, or adapted for military use or purposes.
-
C.
hasMilitarySignificanceSince
Indicates that something has held military importance or strategic value starting from a specified point in time.
-
D.
hasMilitarySignificance
Indicates that something holds strategic or tactical importance for military planning, operations, or defense objectives.
-
E.
remilitarizedBy
Indicates that a previously demilitarized area, zone, or entity has been restored to military status or armed forces presence by a specified actor.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:32 p.m.