Triple
T12924777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Mexico's 3rd congressional district |
E309214
|
entity |
| Predicate | CPVI |
P107040
|
FINISHED |
| Object | D+4 |
—
|
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: D+4 | Statement: [New Mexico's 3rd congressional district, CPVI, D+4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CPVI Context triple: [New Mexico's 3rd congressional district, CPVI, D+4]
-
A.
vascularFeature
Indicates a relationship where one entity has, exhibits, or is characterized by a particular vascular structure or property.
-
B.
vascularSystem
Indicates the relationship in which an entity possesses or is associated with a system of blood vessels that transports blood throughout a body.
-
C.
CTO
Indicates that an entity holds the role or position of Chief Technology Officer in relation to an organization.
-
D.
affectedVessel
Indicates that a vessel is impacted, influenced, or acted upon by a specified event, condition, or process.
-
E.
coagulationAgent
Indicates that one entity serves as or contains a substance that promotes or causes the coagulation (clotting or thickening) of another entity.
- F. None of above. chosen
Provenance (4 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d970f6f5748190ad35aff801db53d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 9, 2026, 5:42 p.m.