Triple
T10451233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American Vertical Datum of 1988 |
E246427
|
entity |
| Predicate | referenceType |
P94111
|
FINISHED |
| Object | mean sea level–based vertical reference |
—
|
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: mean sea level–based vertical reference | Statement: [North American Vertical Datum of 1988, referenceType, mean sea level–based vertical reference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceType Context triple: [North American Vertical Datum of 1988, referenceType, mean sea level–based vertical reference]
-
A.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
B.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
C.
symbolReferenced
Indicates that one symbol is mentioned, cited, or otherwise referred to by another symbol.
-
D.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
E.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0a6a548190a54212912f618e4e |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:17 p.m.