Triple
T22445293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PLT Scheme |
E554848
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | PLT Inc. |
—
|
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: PLT Inc. | Statement: [PLT Scheme, developedBy, PLT Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLT Inc. Context triple: [PLT Scheme, developedBy, PLT Inc.]
-
A.
PLT Inc.
chosen
PLT Inc. is the organization best known for creating and maintaining the Racket programming language and its associated tools and educational resources.
-
B.
PPL Corporation
PPL Corporation is a major U.S.-based energy company that generates, transmits, and distributes electricity to millions of customers.
-
C.
Plank Industries
Plank Industries is a private investment and holding company owned by Under Armour founder Kevin Plank, with interests spanning real estate, hospitality, and other ventures, particularly in Baltimore.
-
D.
Pilot Corporation
Pilot Corporation was the original name of Pilot Flying J, a major American operator of truck stops and travel centers.
-
E.
Pilot Corporation
Pilot Corporation is a major Japanese manufacturer of writing instruments, best known globally for its pens, markers, and other stationery products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b46e8ac8190bfa8c611ffcba822 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:47 p.m.