Triple
T13869428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subchapter K |
E333410
|
entity |
| Predicate | startsAtSection |
P12530
|
FINISHED |
| Object | IRC section 701 |
—
|
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: IRC section 701 | Statement: [Subchapter K, startsAtSection, IRC section 701]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startsAtSection Context triple: [Subchapter K, startsAtSection, IRC section 701]
-
A.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
B.
startsAt
chosen
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
C.
followsSectionOf
Indicates that one section directly comes after or succeeds another section in an ordered structure.
-
D.
appliesToSectionOf
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
-
E.
openedSectionBetween
Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.