Triple
T34470783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chatham Square |
E884901
|
entity |
| Predicate | hasStreetConfluenceWith |
P184542
|
FINISHED |
| Object | The Bowery |
—
|
NE NERFINISHED |
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: The Bowery | Statement: [Chatham Square, hasStreetConfluenceWith, The Bowery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetConfluenceWith Context triple: [Chatham Square, hasStreetConfluenceWith, The Bowery]
-
A.
hasConnectingStreet
Indicates that two locations are linked by a street that directly connects them.
-
B.
atJunctionOf
chosen
Indicates that something is located at or directly connected to the point where two or more paths, roads, or lines meet.
-
C.
isSideStreetOf
Indicates that one street is a smaller, less prominent road that connects to or branches off from another main street.
-
D.
numberOfConvergingStreets
Indicates the count of distinct streets that meet or intersect at a particular junction or location.
-
E.
isThoroughfareFor
Indicates that something serves as a route or passageway used for travel or transportation between places.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 1, 2026, 2:01 a.m.