Triple
T4336005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania's 9th congressional district |
E97464
|
entity |
| Predicate | federalCongressionalDistrictNumber |
P13468
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Pennsylvania's 9th congressional district, federalCongressionalDistrictNumber, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalCongressionalDistrictNumber Context triple: [Pennsylvania's 9th congressional district, federalCongressionalDistrictNumber, 9]
-
A.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
B.
federalDistrictNumber
chosen
Indicates the specific numbered federal electoral or administrative district associated with an entity.
-
C.
stateHouseDistrict
Indicates the specific state-level legislative house district in which an entity is located or to which it is assigned.
-
D.
congressionalNumberingState
Indicates the state associated with a particular numbering or designation of a congressional body or district.
-
E.
representedInStateAssemblyDistrict
Indicates that an entity is politically represented within a specific state assembly district.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.