Triple
T1174449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa's 3rd congressional district |
E24985
|
entity |
| Predicate | hasOrdinalNumber |
P4901
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Iowa's 3rd congressional district, hasOrdinalNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrdinalNumber Context triple: [Iowa's 3rd congressional district, hasOrdinalNumber, 3]
-
A.
hasOrdinalSeries
Indicates that one entity belongs to, or is positioned within, an ordered sequence or series relative to other entities.
-
B.
ordinalNumber
chosen
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
C.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
-
E.
hasRankOrder
Indicates that one entity is ordered or positioned relative to others according to a specific ranking or sequence.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd53e4b48190abb2167f8074a6bc |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5844348190b01ac6506906ba3b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.