Triple
T21680214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missouri House of Representatives District 60 |
E535084
|
entity |
| Predicate | numberOfChamber |
P58550
|
FINISHED |
| Object | 60 |
—
|
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: 60 | Statement: [Missouri House of Representatives District 60, numberOfChamber, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChamber Context triple: [Missouri House of Representatives District 60, numberOfChamber, 60]
-
A.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
-
B.
hasChamberNumber
chosen
Indicates that an entity is associated with a specific chamber identified by a particular number.
-
C.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
D.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
-
E.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a12adf08190b9b450eb26a1f33c |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:43 p.m.