Triple
T22876406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thinking Machines Corporation |
E567336
|
entity |
| Predicate | peakEmployeeCountApprox |
P80887
|
FINISHED |
| Object | 500 |
—
|
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: 500 | Statement: [Thinking Machines Corporation, peakEmployeeCountApprox, 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakEmployeeCountApprox Context triple: [Thinking Machines Corporation, peakEmployeeCountApprox, 500]
-
A.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
-
B.
numberOfEmployeesAtPeak
chosen
Indicates the highest recorded count of employees that an entity had at any point in time.
-
C.
staffSize
Indicates the number of staff members associated with an entity.
-
D.
typicalCompanySize
Indicates the usual or most common number of employees associated with a company.
-
E.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f58a7308190b710bdf013e2e114 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:39 p.m.