Triple
T10378090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAVD 88 |
E244556
|
entity |
| Predicate | coordinateReferenceFrameRelation |
P12083
|
FINISHED |
| Object | compatible with NAD 83 horizontal datum |
—
|
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: compatible with NAD 83 horizontal datum | Statement: [NAVD 88, coordinateReferenceFrameRelation, compatible with NAD 83 horizontal datum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateReferenceFrameRelation Context triple: [NAVD 88, coordinateReferenceFrameRelation, compatible with NAD 83 horizontal datum]
-
A.
datumRelation
chosen
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
B.
spatialRelation
Indicates a spatial relationship between entities, specifying how one is positioned or located relative to another in space.
-
C.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
D.
gridReferenceType
Indicates the specific system or format used to express a location’s position within a spatial grid.
-
E.
transformationRelation
Indicates a relationship where one entity is changed, converted, or transformed into another entity or state.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98f312481909f7276fc3762d7bc |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:03 p.m.