Triple
T3963753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | land of Moriah |
E85965
|
entity |
| Predicate | hasUncertainExactLocation |
P22067
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [land of Moriah, hasUncertainExactLocation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncertainExactLocation Context triple: [land of Moriah, hasUncertainExactLocation, true]
-
A.
hasApproximateLocation
chosen
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
-
B.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
possibleLocation
Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
-
D.
hasUncertainBoundary
Indicates that the boundary or extent of something is not clearly defined, fixed, or precisely known.
-
E.
hasApproximateCoordinates
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.