Triple

T27331734
Position Surface form Disambiguated ID Type / Status
Subject Tickfaw River E689818 entity
Predicate crossedBy P416 FINISHED
Object Louisiana Highway 22
Louisiana Highway 22 is a state highway in southeastern Louisiana that runs east–west through several parishes, connecting rural communities, wetlands, and small towns between Sorrento and Madisonville.
 E1791019 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: Louisiana Highway 22 | Statement: [Tickfaw River, crossedBy, Louisiana Highway 22]
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: Louisiana Highway 22
Triple: [Tickfaw River, crossedBy, Louisiana Highway 22]
Generated description
Louisiana Highway 22 is a state highway in southeastern Louisiana that runs east–west through several parishes, connecting rural communities, wetlands, and small towns between Sorrento and Madisonville.

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_69ef355e5b388190a8fc1eba9b4a6656 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62acc15888190ac5be31943518c28 completed May 2, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f700468c8190ad259becb0248d7e completed May 24, 2026, 1:02 p.m.
NEDg Description generation batch_6a12f7ec5a388190912cedf024233dee completed May 24, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a12fb9bdbe881909c9f79d153f151a3 completed May 24, 2026, 1:22 p.m.
Created at: April 27, 2026, 11:38 a.m.