Triple
T27944484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawara Chowk, Rawalpindi |
E700843
|
entity |
| Predicate | streetNetworkRole |
P25845
|
FINISHED |
| Object | major intersection |
—
|
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: major intersection | Statement: [Fawara Chowk, Rawalpindi, streetNetworkRole, major intersection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetNetworkRole Context triple: [Fawara Chowk, Rawalpindi, streetNetworkRole, major intersection]
-
A.
streetNetwork
Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
-
B.
roadSystemRole
chosen
Indicates the specific functional role or responsibility an entity has within a road or transportation network system.
-
C.
streetNetworkIncludes
Indicates that a given street network contains or encompasses a specified street segment, feature, or component as part of its structure.
-
D.
hasSideStreetRole
Indicates that an entity holds a specific functional or contextual role in relation to a side street.
-
E.
streetServedBy
Indicates that a particular street is provided with service or coverage by a specified service provider or infrastructure.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 7:20 p.m.