Triple

T24427183
Position Surface form Disambiguated ID Type / Status
Subject Tacoma Dome Station E615891 entity
Predicate connectsTo P845 FINISHED
Object State Route 705
State Route 705 is a short Washington state highway in Tacoma that links Interstate 705 and the Tacoma Dome area to the city’s downtown and waterfront.
 E2291021 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: State Route 705 | Statement: [Tacoma Dome Station, connectsTo, State Route 705]
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: State Route 705
Triple: [Tacoma Dome Station, connectsTo, State Route 705]
Generated description
State Route 705 is a short Washington state highway in Tacoma that links Interstate 705 and the Tacoma Dome area to the city’s downtown and waterfront.

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_69e2d7eadb248190a867130fe45f0388 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f296a84c848190bce2c004a667dbe7 completed April 29, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c1caf2b288190a07d2273dc5deb0d completed July 19, 2026, 12:39 a.m.
NEDg Description generation batch_6a5c1d1f5bd081908e65bb174280c1fa completed July 19, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a5c1d6fab948190b547d69ca7973429 completed July 19, 2026, 12:42 a.m.
Created at: April 18, 2026, 2:15 a.m.