Triple
T438362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 train |
E10059
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Financial District |
E18797
|
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: Financial District | Statement: [1 train, servesArea, Financial District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Financial District Context triple: [1 train, servesArea, Financial District]
-
A.
Financial District
The Financial District is San Francisco’s primary downtown business hub, characterized by its concentration of corporate headquarters, banks, and high-rise office buildings.
-
B.
City Center District
City Center District is a major commercial and business neighborhood forming the core of downtown Dallas, Texas.
-
C.
Wall Street
Wall Street is the historic financial district in Lower Manhattan that serves as a global center for banking, trading, and economic power.
-
D.
Financial District (San Francisco)
chosen
The Financial District in San Francisco is the city’s primary central business hub, characterized by its dense cluster of skyscrapers, corporate headquarters, and major financial institutions.
-
E.
Central Precinct
Central Precinct is a primary operational district of the Portland Police Bureau responsible for law enforcement and public safety in Portland’s central urban area.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4366eb0588190beb5c43828f8ca45 |
completed | March 1, 2026, 12:51 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.