Triple
T12177445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Street (Troy, New York) |
E290123
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | downtown Troy |
E809431
|
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: downtown Troy | Statement: [River Street (Troy, New York), partOf, downtown Troy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Troy Context triple: [River Street (Troy, New York), partOf, downtown Troy]
-
A.
downtown Albany
Downtown Albany is the central business and governmental district of Albany, New York, featuring state offices, historic architecture, and a concentration of commercial and cultural institutions.
-
B.
Downtown
"Downtown" is a 1964 pop song by Petula Clark that became an international hit and one of her signature recordings.
-
C.
Downtown
chosen
Downtown refers to the central urban area of a city, typically its main commercial and business district.
-
D.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
E.
Downtown
"Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915fa6ff08190a1ddb3606c229cad |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6ab19288190a882c842d74a2e30 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.