Triple

T25817281
Position Surface form Disambiguated ID Type / Status
Subject NRG Park E650290 entity
Predicate near P350 FINISHED
Object South Loop of Interstate 610
The South Loop of Interstate 610 is a major segment of Houston’s I-610 beltway that forms the southern arc around the city, carrying heavy traffic past key destinations such as NRG Park.
 E1696511 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: South Loop of Interstate 610 | Statement: [NRG Park, near, South Loop of Interstate 610]
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: South Loop of Interstate 610
Triple: [NRG Park, near, South Loop of Interstate 610]
Generated description
The South Loop of Interstate 610 is a major segment of Houston’s I-610 beltway that forms the southern arc around the city, carrying heavy traffic past key destinations such as NRG Park.

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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600ca169c8190b8f75d1d1e66396a completed May 2, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da221cdc81908c3604db75790900 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dc54e00c8190b6e45779b281bc2a completed May 22, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a10dcaf4bd48190b5ed702e33b40441 completed May 22, 2026, 10:46 p.m.
Created at: April 22, 2026, 7:27 a.m.