Triple
T21984458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4th Space Company |
E542920
|
entity |
| Predicate | supportsCapabilityArea |
P146157
|
FINISHED |
| Object | missile defense warning |
—
|
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: missile defense warning | Statement: [4th Space Company, supportsCapabilityArea, missile defense warning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCapabilityArea Context triple: [4th Space Company, supportsCapabilityArea, missile defense warning]
-
A.
includesCapabilityArea
Indicates that one entity encompasses or contains a specific capability area as part of its overall scope or functionality.
-
B.
supportsMissionArea
Indicates that one entity contributes to, enables, or aligns with the objectives and activities of a specified mission area.
-
C.
supportsTechnologyArea
Indicates that one entity provides backing, resources, or endorsement for a particular technology area associated with another entity.
-
D.
supportsPolicyArea
Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
-
E.
supportArea
Indicates that one entity serves as a supporting region or surface that provides structural or functional backing for another entity.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708055c8190b626ce244e368296 |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:04 p.m.