Triple
T30417659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Serenade |
E773802
|
entity |
| Predicate | hasCityInTitle |
P149441
|
FINISHED |
| Object | New York City |
—
|
NE NERFINISHED |
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: New York City | Statement: [New York City Serenade, hasCityInTitle, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityInTitle Context triple: [New York City Serenade, hasCityInTitle, New York City]
-
A.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
-
B.
isCity
Indicates that the subject entity is classified as a city.
-
C.
mentionsCity
chosen
Indicates that one entity refers to or brings up a particular city in some form of communication or content.
-
D.
containsCapitalCity
Indicates that a geographic or political region includes within its boundaries the capital city associated with it.
-
E.
titleForCity
Indicates the official or commonly used title or designation assigned to a particular city.
- F. None of above.
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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 8:05 p.m.