Triple

T32679667

Position	Surface form	Disambiguated ID	Type / Status
Subject	Warm Springs Dam	`E835536`	entity
Predicate	hasFishHatcheryNearby	`P198494`	FINISHED
Object	Warm Springs Fish Hatchery Warm Springs Fish Hatchery is a fish production and conservation facility located near Warm Springs Dam that raises and releases fish to support local fisheries and aquatic ecosystems.	`E2017296`	NE FINISHED

How this triple was built (3 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: Warm Springs Fish Hatchery | Statement: [Warm Springs Dam, hasFishHatcheryNearby, Warm Springs Fish Hatchery]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Warm Springs Fish Hatchery
Triple: [Warm Springs Dam, hasFishHatcheryNearby, Warm Springs Fish Hatchery]

Generated description

Warm Springs Fish Hatchery is a fish production and conservation facility located near Warm Springs Dam that raises and releases fish to support local fisheries and aquatic ecosystems.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasFishHatcheryNearby
Context triple: [Warm Springs Dam, hasFishHatcheryNearby, Warm Springs Fish Hatchery]

A. hasNearbyLake
Indicates that one entity is located close to or in the vicinity of a lake.
B. hasNearbyFishSpecies
Indicates that one entity has fish species occurring in close spatial proximity to it.
C. hasFishingSpecies
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
D. hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
E. hasFishCountingFacility
Indicates that a location or structure is equipped with a facility specifically designed for counting fish.
F. None of above. chosen

Provenance (7 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_69f3493134b48190aa3c8cb523bd3800`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69feecf1bb248190ba30f0bb1d22ee08`	completed	May 9, 2026, 8:14 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3492c17e44819096bc2bf8a94b064b`	completed	June 19, 2026, 12:52 a.m.
NEDg	Description generation	`batch_6a3493bc839c8190ade6ca8ccf125853`	completed	June 19, 2026, 12:56 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34948e92348190bec1eb58502e919f`	completed	June 19, 2026, 12:59 a.m.
PD	Predicate disambiguation	`batch_69feea5f27748190b223ee4e3ba5a678`	completed	May 9, 2026, 8:03 a.m.
PDg	Predicate description generation	`batch_69feecf102e08190b237c29e45beeca0`	completed	May 9, 2026, 8:14 a.m.

Created at: May 1, 2026, 1:09 a.m.