Triple
T29362330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reno–Stead Airport |
E744623
|
entity |
| Predicate | closedAsMilitaryBase |
P85703
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Reno–Stead Airport, closedAsMilitaryBase, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsMilitaryBase Context triple: [Reno–Stead Airport, closedAsMilitaryBase, 1966]
-
A.
formerMilitaryBase
Indicates that a location was previously used as a military base but no longer serves that function.
-
B.
closedAsActiveArmyPost
Indicates that a location or facility ceased operations specifically in its role as an active Army post.
-
C.
closedAsUSBase
chosen
Indicates that a location or facility was closed specifically for use as a United States military base.
-
D.
closedAsUSBaseIn
Indicates that a location ceased operations specifically as a U.S. military base in the specified place or jurisdiction.
-
E.
closedAsIndustrialFacility
Indicates that an entity ceased operations specifically in its role as an industrial facility.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 2:19 p.m.