Triple
T9343407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th Street |
E224819
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | 13th Street |
E224819
|
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: 13th Street | Statement: [13th Street, hasName, 13th Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 13th Street Context triple: [13th Street, hasName, 13th Street]
-
A.
13th Street
chosen
13th Street is a roadway that serves as a primary access point to the 13th Street station.
-
B.
North 13th Street
North 13th Street is an urban thoroughfare in Philadelphia, Pennsylvania, running through Center City and several surrounding neighborhoods.
-
C.
West 11th Street
West 11th Street is a downtown Wilmington, Delaware thoroughfare that forms part of the street grid surrounding the civic and commercial hub of Rodney Square.
-
D.
110th Street
110th Street is a major east–west thoroughfare in Manhattan, New York City, marking the northern edge of Central Park and forming part of the boundary between several uptown neighborhoods.
-
E.
14th Street
14th Street is a New York City Subway station complex in Manhattan that serves the 1 train along with several other lines.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb244e88190b269e0bc997f066a |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100cc26248190baf12eb7f8aca74a |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:40 p.m.