Triple
T37580421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of John Lennon |
E934940
|
entity |
| Predicate | cityOfHospital |
P107457
|
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: [murder of John Lennon, cityOfHospital, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfHospital Context triple: [murder of John Lennon, cityOfHospital, New York City]
-
A.
hospitalLocation
chosen
Indicates the geographic place or address where a hospital is situated.
-
B.
homeFacilityCity
Indicates the city in which an entity’s primary or home facility is located.
-
C.
isUrbanHospital
Indicates that a hospital is located in an urban area or serves an urban population.
-
D.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
E.
homeCityOf
Indicates that a particular city is the primary place of residence or origin for a given person or organization.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.