Triple

T30079059
Position Surface form Disambiguated ID Type / Status
Subject Hammond micropolitan area E764401 entity
Predicate locatedInRegion P40 FINISHED
Object southeastern Louisiana
Southeastern Louisiana is a region of the U.S. state of Louisiana known for its proximity to the Gulf Coast, humid subtropical climate, and mix of urban centers, wetlands, and culturally rich communities.
E955574 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: southeastern Louisiana | Statement: [Hammond micropolitan area, locatedInRegion, southeastern Louisiana]
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: southeastern Louisiana
Triple: [Hammond micropolitan area, locatedInRegion, southeastern Louisiana]
Generated description
Southeastern Louisiana is a region of the U.S. state of Louisiana known for its proximity to the Gulf Coast, humid subtropical climate, and mix of urban centers, wetlands, and culturally rich communities.

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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d3f77b48190afef1a713cad3fa9 completed May 2, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a275825183c8190965fa0a2e0152bfa completed June 9, 2026, 12:02 a.m.
NEDg Description generation batch_6a275babedb08190bbf81aaaefa76fc3 completed June 9, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a275c19ba308190b0bf02beeed978ee completed June 9, 2026, 12:19 a.m.
Created at: April 29, 2026, 7:02 p.m.