Triple
T37720863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-1 |
E939577
|
entity |
| Predicate | COTSStatus |
P188972
|
FINISHED |
| Object | initial awardee |
—
|
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: initial awardee | Statement: [K-1, COTSStatus, initial awardee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COTSStatus Context triple: [K-1, COTSStatus, initial awardee]
-
A.
CISStatus
Indicates the compliance or certification status of an entity with respect to CIS (Center for Internet Security) benchmarks or standards.
-
B.
objectStatus
Indicates the current state or condition that an object is in within a given context or system.
-
C.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
-
D.
maintenanceStatus
Indicates the current state or condition of an entity with respect to its maintenance activities, such as whether it is pending, in progress, completed, or overdue.
-
E.
operatorStatus
Indicates the current operational state or condition of an operator (e.g., active, inactive, or in error).
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.