Triple
T23515774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria |
E574360
|
entity |
| Predicate | primaryLocationOfEvents |
P136244
|
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: [Gloria, primaryLocationOfEvents, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocationOfEvents Context triple: [Gloria, primaryLocationOfEvents, New York City]
-
A.
primaryLocationOfAppearances
Indicates the main place where an entity most frequently appears or is featured.
-
B.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
C.
locationGaveRiseTo
Indicates that a particular location is the origin or source from which something (such as an event, movement, phenomenon, or entity) emerged or developed.
-
D.
countryWhereOccurred
Indicates the country in which a particular event, action, or occurrence took place.
-
E.
primaryLocationCity
chosen
Indicates the city that serves as the main or primary location associated with the subject.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa81ab4c8190b85c8f80754020ea |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.