Triple
T26089351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stool Pigeon |
E658072
|
entity |
| Predicate | setInCycle |
P42603
|
FINISHED |
| Object | Pittsburgh Cycle |
—
|
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: Pittsburgh Cycle | Statement: [Stool Pigeon, setInCycle, Pittsburgh Cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInCycle Context triple: [Stool Pigeon, setInCycle, Pittsburgh Cycle]
-
A.
includedInCycle
chosen
Indicates that an entity participates in and is part of a closed loop or recurring sequence within a system or structure.
-
B.
setInState
Indicates that an entity is located within, or belongs to, a particular state or state-level jurisdiction.
-
C.
setInEvent
Indicates that an entity is situated within, occurs during, or is contextually located in a particular event.
-
D.
hasNumberInCycle
Indicates that a given number appears within a specified repeating sequence or cycle associated with an entity or process.
-
E.
firstInCurrentTimeCycle
Indicates that the referenced entity is the earliest or initial one within the current defined cycle of time (e.g., day, week, period).
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60702b8948190bdd504b1c5d94b30 |
completed | May 2, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:45 p.m.