Triple

T22051024
Position Surface form Disambiguated ID Type / Status
Subject Tamil Nadu State Highway network E544881 entity
Predicate upgradePolicy P51386 FINISHED
Object progressive widening and strengthening 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: progressive widening and strengthening | Statement: [Tamil Nadu State Highway network, upgradePolicy, progressive widening and strengthening]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: upgradePolicy
Context triple: [Tamil Nadu State Highway network, upgradePolicy, progressive widening and strengthening]
  • A. upgradeGoal
    Indicates that an entity has a target or intended improvement to a higher level, version, or state relative to its current condition.
  • B. upgradeType
    Indicates the specific kind or category of improvement or enhancement applied to an entity relative to its previous state.
  • C. upgradePath
    Indicates the relationship by which one entity can be improved, enhanced, or transitioned into another, typically more advanced, version or state.
  • D. upgradeFor
    Indicates that one entity serves as an improved or enhanced replacement for another entity.
  • E. upgradeMethod chosen
    Indicates the method or process by which something is improved, updated, or elevated to a higher level or version.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283386f081908b70df81f38a5b1c completed April 28, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69e6f643ca74819083e8ab78e843f243 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:26 p.m.