Triple
T5543065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 6: Administrative |
E145337
|
entity |
| Predicate | isWrittenFormOf |
P5330
|
FINISHED |
| Object | fundamental rules for Indiana administrative offices |
—
|
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: fundamental rules for Indiana administrative offices | Statement: [Article 6: Administrative, isWrittenFormOf, fundamental rules for Indiana administrative offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWrittenFormOf Context triple: [Article 6: Administrative, isWrittenFormOf, fundamental rules for Indiana administrative offices]
-
A.
isGivenNameFormOf
Indicates that one name is a given-name variant or form derived from another name.
-
B.
hasDistinctOrthographyFrom
Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
-
C.
alsoWrittenAs
chosen
Indicates that one entity has an alternative written form, spelling, or notation represented by the other entity.
-
D.
etymologicalForm
Indicates that one linguistic form is derived from, or historically originates in, another form as its etymological source.
-
E.
hasWrittenForm
Indicates that an entity is associated with a specific written or textual representation.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc947bc81908d1f7b709392ec20 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.