Triple

T30594033
Position Surface form Disambiguated ID Type / Status
Subject Gulf Coast Indigenous nations E778738 entity
Predicate hasMember P10 FINISHED
Object Talimali
Talimali is an Indigenous community associated with the Gulf Coast region of the United States, reflecting the cultural and historical traditions of the area’s Native nations.
E1921324 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: Talimali | Statement: [Gulf Coast Indigenous nations, hasMember, Talimali]
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: Talimali
Triple: [Gulf Coast Indigenous nations, hasMember, Talimali]
Generated description
Talimali is an Indigenous community associated with the Gulf Coast region of the United States, reflecting the cultural and historical traditions of the area’s Native nations.

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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6897d5cb48190b5d802f755747966 completed May 2, 2026, 11:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2857151d748190896ba6e26c53ef89 completed June 9, 2026, 6:10 p.m.
NEDg Description generation batch_6a285842b7508190888aecb939ff75d1 completed June 9, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2858b75ed08190b2c62775ccdf9fd3 completed June 9, 2026, 6:17 p.m.
Created at: April 29, 2026, 8:24 p.m.