Triple
T35027477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHA Phase IV, Karachi |
E1010379
|
entity |
| Predicate | roadNetworkPlanned |
P182022
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [DHA Phase IV, Karachi, roadNetworkPlanned, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNetworkPlanned Context triple: [DHA Phase IV, Karachi, roadNetworkPlanned, Yes]
-
A.
roadNetworkContext
Indicates the contextual relationship between elements within a road network, such as how roads, intersections, and related infrastructure are organized or interact.
-
B.
roadSystem
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
C.
roadNetworkStatus
Indicates the current operational condition or connectivity state of a road network, such as whether routes are open, closed, or restricted.
-
D.
roadNetworkConformsTo
Indicates that a road network adheres to, or is compliant with, a specified standard, specification, or reference model.
-
E.
streetNetwork
Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.