Triple
T1500106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portable Document Format |
E29775
|
entity |
| Predicate | openStandard |
P1587
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Portable Document Format, openStandard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openStandard Context triple: [Portable Document Format, openStandard, true]
-
A.
usesStandard
chosen
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
B.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
C.
extendsStandard
Indicates that one entity builds upon, enhances, or adds to an existing standard defined by another entity.
-
D.
firstStandardApproved
Indicates that an entity is the earliest or initial standard that has received formal approval.
-
E.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f2d7f881909188a3e5614335cd |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.