Triple
T4642446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunker Hill |
E101683
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | 2nd Street |
unclear NED1
|
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: 2nd Street | Statement: [Bunker Hill, hasStreet, 2nd Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2nd Street Context triple: [Bunker Hill, hasStreet, 2nd Street]
-
A.
2nd Street
2nd Street is a major east–west thoroughfare in downtown Los Angeles that runs through the historic Little Tokyo neighborhood and connects several key districts in the city.
-
B.
Second Street
Second Street is a major north–south thoroughfare in Philadelphia that runs through several historic and commercial neighborhoods, including parts of Old City and Northern Liberties.
-
C.
2nd Avenue
2nd Avenue is a major north–south thoroughfare in downtown Seattle, Washington, known for its mix of commercial buildings, offices, and urban streetscape.
-
D.
North 2nd Street
North 2nd Street is a city thoroughfare that serves as part of the numbered street grid in its urban area.
-
E.
22nd Street
22nd Street is a street that lends its name to the nearby 22nd Street station, serving as a local thoroughfare in its area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a93047c8190990c94fd5a57c867 |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c7add98819089fbff1a21a19e28 |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:14 p.m.