Triple

T33393510
Position Surface form Disambiguated ID Type / Status
Subject HUC code E855111 entity
Predicate 12-digitHUCAlsoCalled P59675 FINISHED
Object subwatershed 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: subwatershed | Statement: [HUC code, 12-digitHUCAlsoCalled, subwatershed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 12-digitHUCAlsoCalled
Context triple: [HUC code, 12-digitHUCAlsoCalled, subwatershed]
  • A. hydrologicUnitCode chosen
    Indicates the standardized hydrologic unit identifier that specifies the drainage or watershed area associated with a given geographic feature or location.
  • B. UNSNumber
    Indicates that an entity is associated with a specific United Nations (UN) number used to identify hazardous substances or dangerous goods.
  • C. ayahNumber
    Indicates the specific verse number assigned to an ayah within a surah or text.
  • D. hasHydrologicalUnit
    Indicates that one entity is associated with, contained in, or defined by a specific hydrological unit (such as a watershed, basin, or catchment area) in terms of water flow or drainage.
  • E. usesHarmonizedNumberingWith
    Indicates that two entities apply the same standardized numbering scheme so their identifiers or codes are directly comparable or aligned.
  • 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_69f3496e3f1c8190bcecfa82aa9d17ff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:35 a.m.