Triple
T30642788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugarloaf Mountain area |
E780031
|
entity |
| Predicate | withinMilitaryReservation |
P66512
|
FINISHED |
| Object | NAWS China Lake |
—
|
NE NERFINISHED |
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: NAWS China Lake | Statement: [Sugarloaf Mountain area, withinMilitaryReservation, NAWS China Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withinMilitaryReservation Context triple: [Sugarloaf Mountain area, withinMilitaryReservation, NAWS China Lake]
-
A.
isMilitaryOnly
Indicates that something is restricted exclusively to military use or participation, excluding civilians or non-military entities.
-
B.
isMilitaryInstallation
Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
-
C.
partOfMilitaryArea
chosen
Indicates that one entity is located within or belongs to a designated military-controlled area of another entity.
-
D.
isReservationOf
Indicates that a given reservation entity is specifically associated with, or made for, a particular resource, service, or event.
-
E.
militaryBaseVenue
Indicates that an event or activity takes place at, or is hosted by, a military base as its venue.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a564ff08190940e6580ec2a0ef6 |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:29 p.m.