Triple
T34499632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachikawa airfield |
E885710
|
entity |
| Predicate | postMilitaryRedevelopment |
P24930
|
FINISHED |
| Object | creation of national government parkland |
—
|
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: creation of national government parkland | Statement: [Tachikawa airfield, postMilitaryRedevelopment, creation of national government parkland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postMilitaryRedevelopment Context triple: [Tachikawa airfield, postMilitaryRedevelopment, creation of national government parkland]
-
A.
postMilitaryUse
chosen
Indicates that an entity is used or repurposed after its original military function or service has ended.
-
B.
postMilitaryCareer
Indicates that one entity’s career or occupation occurs after the completion of their military service.
-
C.
formerMilitaryBase
Indicates that a location was previously used as a military base but no longer serves that function.
-
D.
postMilitaryName
Indicates the name or designation an entity holds after completing or leaving military service.
-
E.
postReformDevelopment
Indicates the development or changes that occur after a reform has been implemented.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.