Triple

T12982169
Position Surface form Disambiguated ID Type / Status
Subject Unawatuna E321676 entity
Predicate recoveredThrough P107880 FINISHED
Object tourism redevelopment 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: tourism redevelopment | Statement: [Unawatuna, recoveredThrough, tourism redevelopment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recoveredThrough
Context triple: [Unawatuna, recoveredThrough, tourism redevelopment]
  • A. recoveredIn
    Indicates that something lost, damaged, or impaired has been restored or regained within a particular context, process, or location.
  • B. recoveredFrom
    Indicates that an entity has returned to a normal or improved state after previously experiencing or being affected by another specified condition, event, or problem.
  • C. recovered
    Indicates that an entity has returned to a previous, healthier, normal, or functional state after a period of loss, damage, illness, or impairment.
  • D. remainsRecoveredFrom
    Indicates that physical remains of an entity have been found and retrieved from a specified source, location, or context.
  • E. recoveredWithAidFrom
    Indicates that an entity returned to a prior or improved state (such as health, function, or condition) as a result of assistance, intervention, or support from another entity.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97f1badac8190a59e60751f47b8d6 completed April 10, 2026, 10:52 p.m.
Created at: April 9, 2026, 8:39 p.m.