Triple
T28023230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N-5 National Highway (Pakistan) |
E707743
|
entity |
| Predicate | improvementFocus |
P163633
|
FINISHED |
| Object | widening and rehabilitation |
—
|
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: widening and rehabilitation | Statement: [N-5 National Highway (Pakistan), improvementFocus, widening and rehabilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: improvementFocus Context triple: [N-5 National Highway (Pakistan), improvementFocus, widening and rehabilitation]
-
A.
seeksToImprove
Indicates an intentional effort by one entity to make another entity or condition better than its current state.
-
B.
performanceFocus
Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
-
C.
improvesIn
Indicates that one entity causes or contributes to an increase in quality, performance, or effectiveness in another entity or context.
-
D.
guidanceImprovement
Indicates that one entity provides direction, feedback, or support that helps another entity enhance or improve its performance, behavior, or outcomes.
-
E.
claimsToImprove
Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63c0c0c408190ac9a9e10ad6466a8 |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 8:11 p.m.