Triple
T26603685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pierre Hotel |
E667709
|
entity |
| Predicate | situatedAtIntersection |
P15085
|
FINISHED |
| Object | Fifth Avenue and East 61st Street |
—
|
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: Fifth Avenue and East 61st Street | Statement: [The Pierre Hotel, situatedAtIntersection, Fifth Avenue and East 61st Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situatedAtIntersection Context triple: [The Pierre Hotel, situatedAtIntersection, Fifth Avenue and East 61st Street]
-
A.
locatedAtIntersectionOf
chosen
Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
-
B.
nearJunctionOf
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
-
C.
crossesStreet
Indicates that an entity moves from one side of a street to the other, traversing the street’s width.
-
D.
isMajorRoadJunction
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
E.
roadCrossingBetween
Indicates that a road crossing (such as a crosswalk or intersection crossing) exists between two locations or road segments, connecting them for passage across the road.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6157198fc819083151a884187abae |
completed | May 2, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 2:13 a.m.