Triple

T34840832
Position Surface form Disambiguated ID Type / Status
Subject Lacombe Bayou and Lake Pontchartrain E1004334 entity
Predicate locatedIn P40 FINISHED
Object southeastern Louisiana
Southeastern Louisiana is a low-lying, coastal region of the state known for its wetlands, bayous, and proximity to the Gulf of Mexico, encompassing major waterways and cities like New Orleans.
E281803 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: [Lacombe Bayou and Lake Pontchartrain, locatedIn, 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: [Lacombe Bayou and Lake Pontchartrain, locatedIn, southeastern Louisiana]
Generated description
Southeastern Louisiana is a low-lying, coastal region of the state known for its wetlands, bayous, and proximity to the Gulf of Mexico, encompassing major waterways and cities like New Orleans.

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_69f76db97714819099b5bed36fd64e9d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7812ef82c819085c6119c2272fb7d completed May 3, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786c9f8a48190a5ba17b600feb679 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378abf1b0481909040f688fadcf447 completed June 21, 2026, 6:54 a.m.
NED2 Entity disambiguation (via description) batch_6a378bc690f08190970e7b189ff9627c completed June 21, 2026, 6:59 a.m.
Created at: May 3, 2026, 4 p.m.