Triple
T5541844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey (during tenure with New York Jets) |
E145306
|
entity |
| Predicate | roleAsPlace |
P65288
|
FINISHED |
| Object | state of residence for Robert Saleh |
—
|
LITERAL 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: state of residence for Robert Saleh | Statement: [New Jersey (during tenure with New York Jets), roleAsPlace, state of residence for Robert Saleh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAsPlace Context triple: [New Jersey (during tenure with New York Jets), roleAsPlace, state of residence for Robert Saleh]
-
A.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
B.
placeType
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
C.
placeDescribed
Indicates that one entity provides a description or account of a particular place or location.
-
D.
locationDescription
Indicates a textual description that specifies or characterizes the location of an entity.
-
E.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
- F. None of above. chosen
Provenance (4 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc7e26481908cec8d0483170ea5 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:35 p.m.