Triple
T38203159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITT Educational Services, Inc. |
E1009122
|
entity |
| Predicate | operationalStatusAfter2016 |
P138281
|
FINISHED |
| Object | non-operational |
—
|
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: non-operational | Statement: [ITT Educational Services, Inc., operationalStatusAfter2016, non-operational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalStatusAfter2016 Context triple: [ITT Educational Services, Inc., operationalStatusAfter2016, non-operational]
-
A.
statusAfter2016
chosen
Indicates the condition or state of an entity as it exists from the year 2016 onward.
-
B.
statusBefore2016
Indicates the status or condition that an entity had prior to the year 2016.
-
C.
statusAfter2017
Indicates the status or condition an entity has specifically after the year 2017.
-
D.
operationalStatusInEarly2000s
Indicates whether an entity was operational or active during the early 2000s time period.
-
E.
operationalStatusAtEnd
Indicates the final operational condition or state of an entity at the conclusion of a specified period or process.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0356f541b08190b40469aa628087f4 |
completed | May 12, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_6a03569e4fa881909c57351a6c489636 |
completed | May 12, 2026, 4:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.