Triple
T36083841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article III:2 |
E1043722
|
entity |
| Predicate | firstSentenceStandard |
—
|
GENERATED |
| Object | like products |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSentenceStandard Context triple: [Article III:2, firstSentenceStandard, like products]
-
A.
initialSentence
chosen
Indicates that the referenced sentence is the first or opening sentence in a text, document, or discourse.
-
B.
firstStandard
Indicates that the subject is the earliest or primary instance in a defined standard, sequence, or set of reference criteria.
-
C.
secondSentenceStandard
Indicates that the referenced text is the second sentence according to a standard or canonical sentence segmentation.
-
D.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
E.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
- F. None of above.
Provenance (1 batch)
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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.