Triple
T30414390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona State Route 85 |
E773709
|
entity |
| Predicate | hasExpandedSections |
P180155
|
FINISHED |
| Object | multi-lane segments near Buckeye and I-10 |
—
|
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: multi-lane segments near Buckeye and I-10 | Statement: [Arizona State Route 85, hasExpandedSections, multi-lane segments near Buckeye and I-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpandedSections Context triple: [Arizona State Route 85, hasExpandedSections, multi-lane segments near Buckeye and I-10]
-
A.
containsExpandedContent
Indicates that an entity includes additional, more detailed or extended content beyond its standard or primary form.
-
B.
wasExpanded
Indicates that something increased in size, scope, or extent compared to its previous state.
-
C.
hasExpansion
Indicates that one entity serves as a larger, extended, or elaborated form of another entity.
-
D.
hasSeparatedSections
Indicates that something is divided into distinct, non-continuous parts or sections.
-
E.
wasExpandedIn
Indicates that something increased in size, scope, or extent during a specified time or event.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 29, 2026, 8:05 p.m.