Triple
T4608111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop 202 |
E100485
|
entity |
| Predicate | santanSegmentLocation |
P52570
|
FINISHED |
| Object | south of Mesa, Gilbert, and Chandler |
—
|
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: south of Mesa, Gilbert, and Chandler | Statement: [Loop 202, santanSegmentLocation, south of Mesa, Gilbert, and Chandler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: santanSegmentLocation Context triple: [Loop 202, santanSegmentLocation, south of Mesa, Gilbert, and Chandler]
-
A.
locationGroundSegment
chosen
Indicates that one entity is located at or associated with a specific ground segment or ground-based infrastructure.
-
B.
segmentStructure
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
-
C.
baySegment
Indicates that one entity is a specific segment or sub-area within a larger bay.
-
D.
eraLocation
Indicates the place or geographic context in which a particular historical era or time period occurs or is primarily associated.
-
E.
isStartingPointOf
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599debdc81909d11d0e871c666bb |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.