Triple
T4601635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Street Seaport |
E100331
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Wall Street |
E2854
|
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: Wall Street | Statement: [South Street Seaport, near, Wall Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wall Street Context triple: [South Street Seaport, near, Wall Street]
-
A.
Wall Street
chosen
Wall Street is the historic financial district in Lower Manhattan that serves as a global center for banking, trading, and economic power.
-
B.
Wall Street
Wall Street is a 1987 American drama film directed by Oliver Stone that explores the high-stakes world of corporate finance and greed in New York City.
-
C.
40 Wall Street
40 Wall Street is a historic neo-Gothic skyscraper in New York City's Financial District, once one of the tallest buildings in the world and later owned and branded by the Trump Organization.
-
D.
Liberty Market
Liberty Market is a popular commercial and shopping area in Lahore, Pakistan, known for its wide range of clothing, jewelry, and food outlets.
-
E.
World Financial Center
The World Financial Center is a prominent commercial complex in New York City known for its office towers, retail spaces, and views overlooking the Hudson River.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd597346a08190b47eda3b73076f8b |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa60b3348190ac8e28f9e78e1d99 |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:11 p.m.