Triple
T4256137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus Circle |
E95978
|
entity |
| Predicate | isPointFromWhich |
P11053
|
FINISHED |
| Object | official distances from New York City are measured |
—
|
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: official distances from New York City are measured | Statement: [Columbus Circle, isPointFromWhich, official distances from New York City are measured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPointFromWhich Context triple: [Columbus Circle, isPointFromWhich, official distances from New York City are measured]
-
A.
isPointWhere
Indicates that one entity is the specific location or point at which another entity, event, or condition occurs or is defined.
-
B.
isReferencePointFor
chosen
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
C.
isStartingPointOf
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
-
D.
isFrom
Indicates that one entity originates, comes, or has been sent from another entity or source.
-
E.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.