Triple
T32440363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens Chapel |
E828995
|
entity |
| Predicate | roadNetworkCharacter |
P168310
|
FINISHED |
| Object | local streets with access to major thoroughfares |
—
|
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: local streets with access to major thoroughfares | Statement: [Queens Chapel, roadNetworkCharacter, local streets with access to major thoroughfares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNetworkCharacter Context triple: [Queens Chapel, roadNetworkCharacter, local streets with access to major thoroughfares]
-
A.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
B.
roadSystemPattern
chosen
Indicates the characteristic layout or organizational pattern of a road network within a given area.
-
C.
roadSystem
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
D.
roadAxis
Indicates a central reference line that defines the primary longitudinal direction or alignment of a road.
-
E.
roadNetworkContext
Indicates the contextual relationship between elements within a road network, such as how roads, intersections, and related infrastructure are organized or interact.
- 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_69f3491bf298819097b610f772d54a6d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e2652881909198964213886476 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:55 a.m.