Triple

T29486157
Position Surface form Disambiguated ID Type / Status
Subject Onion Creek E747928 entity
Predicate affects P9 FINISHED
Object Onion Creek neighborhood in Austin
The Onion Creek neighborhood in Austin is a residential community in South Austin known for its golf course, green spaces, and proximity to the often-flood-prone Onion Creek.
 E1869695 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: Onion Creek neighborhood in Austin | Statement: [Onion Creek, affects, Onion Creek neighborhood in Austin]
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: Onion Creek neighborhood in Austin
Triple: [Onion Creek, affects, Onion Creek neighborhood in Austin]
Generated description
The Onion Creek neighborhood in Austin is a residential community in South Austin known for its golf course, green spaces, and proximity to the often-flood-prone Onion Creek.

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_69f0bd43ba30819095eb1cfc3adf525c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c05947c8190b34739a0a7c0201f completed May 2, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f125e18c81909194c8cb1920b234 completed June 7, 2026, 10:31 p.m.
NEDg Description generation batch_6a25f6d9b2ec8190bc9fbb87cd214016 completed June 7, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a25fadc64548190829c6465da97f4ae completed June 7, 2026, 11:12 p.m.
Created at: April 28, 2026, 4:08 p.m.