Triple

T23601156
Position Surface form Disambiguated ID Type / Status
Subject Hayneville, Alabama E582759 entity
Predicate hasFeature P182 FINISHED
Object Lowndes County Courthouse
The Lowndes County Courthouse is a historic county government building in Hayneville, Alabama, notable for its role in the civil rights era and as the center of local judicial and administrative functions.
E1601252 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: Lowndes County Courthouse | Statement: [Hayneville, Alabama, hasFeature, Lowndes County Courthouse]
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: Lowndes County Courthouse
Triple: [Hayneville, Alabama, hasFeature, Lowndes County Courthouse]
Generated description
The Lowndes County Courthouse is a historic county government building in Hayneville, Alabama, notable for its role in the civil rights era and as the center of local judicial and administrative functions.

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_69e248faa2788190abb1581742daa6aa completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0936f588190aead4419aedfcb0e completed April 29, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f5392949c81909a8a4e49152443e2 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f551a7f648190ac2364cbd1ef3091 completed May 21, 2026, 6:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f55c4f3fc8190957279b36bbb0ffd completed May 21, 2026, 6:58 p.m.
Created at: April 17, 2026, 6:43 p.m.