Triple
T12845549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Street |
E307165
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Avenue A |
E926965
|
NE 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: Avenue A | Statement: [Houston Street, crosses, Avenue A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avenue A Context triple: [Houston Street, crosses, Avenue A]
-
A.
Avenue A
chosen
Avenue A is a north–south avenue on Manhattan’s Lower East Side and East Village, known for its historic immigrant roots and vibrant nightlife, bars, and restaurants.
-
B.
Avenue C
Avenue C is a north–south avenue on Manhattan’s East Side in New York City, running through neighborhoods such as the East Village and the Lower East Side.
-
C.
Wilder Avenue
Wilder Avenue is a major residential and commuter street running through the Makiki neighborhood of Honolulu, Hawaii.
-
D.
Post Avenue
Post Avenue is a street in the Inwood neighborhood of Upper Manhattan, New York City.
-
E.
Thurston Avenue
Thurston Avenue is a major roadway on Cornell University’s East Hill campus in Ithaca, New York, serving as a key thoroughfare for campus and local traffic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaca8958819086df70db2ba497a5 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 5:36 p.m.