Triple
T26147853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona State Route 24 |
E659728
|
entity |
| Predicate | includedInPlan |
P56991
|
FINISHED |
| Object | regional transportation plans for Phoenix area |
—
|
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: regional transportation plans for Phoenix area | Statement: [Arizona State Route 24, includedInPlan, regional transportation plans for Phoenix area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInPlan Context triple: [Arizona State Route 24, includedInPlan, regional transportation plans for Phoenix area]
-
A.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
B.
hasBasePlan
Indicates that an entity is associated with or derived from a specified foundational or default plan.
-
C.
membershipIncluded
Indicates that one entity’s membership or inclusion is contained within, or granted as part of, another entity’s membership.
-
D.
includedBy
chosen
Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
-
E.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 26, 2026, 8:23 p.m.