Triple

T37155840
Position Surface form Disambiguated ID Type / Status
Subject Seward, Pennsylvania E920495 entity
Predicate locatedInWatershed P40 FINISHED
Object Kiskiminetas-Conemaugh River Basin
The Kiskiminetas-Conemaugh River Basin is a watershed in western Pennsylvania that drains a network of rivers and streams flowing toward the Allegheny River.
E2221976 NE 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: Kiskiminetas-Conemaugh River Basin | Statement: [Seward, Pennsylvania, locatedInWatershed, Kiskiminetas-Conemaugh River Basin]
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: Kiskiminetas-Conemaugh River Basin
Triple: [Seward, Pennsylvania, locatedInWatershed, Kiskiminetas-Conemaugh River Basin]
Generated description
The Kiskiminetas-Conemaugh River Basin is a watershed in western Pennsylvania that drains a network of rivers and streams flowing toward the Allegheny River.

Provenance (5 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_69f76e9f87c08190b4c8f7fafbd8345a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb309094e48190a03274d7b8891292 completed May 6, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406376d4f08190baf8d1e368818760 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a4064c5b5f88190bb07582555831f32 completed June 28, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a40655bd8d881908a0824fbd19562cd completed June 28, 2026, 12:05 a.m.
Created at: May 3, 2026, 4:15 p.m.