Triple

T36760235
Position Surface form Disambiguated ID Type / Status
Subject A30 Expressway E908174 entity
Predicate designationSystem P1217 FINISHED
Object Shanghai A-numbered expressways
The Shanghai A-numbered expressways are a network of major urban and regional expressways in and around Shanghai, identified by “A” route numbers and forming key corridors for high-speed vehicular traffic.
E788681 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: Shanghai A-numbered expressways | Statement: [A30 Expressway, designationSystem, Shanghai A-numbered expressways]
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: Shanghai A-numbered expressways
Triple: [A30 Expressway, designationSystem, Shanghai A-numbered expressways]
Generated description
The Shanghai A-numbered expressways are a network of major urban and regional expressways in and around Shanghai, identified by “A” route numbers and forming key corridors for high-speed vehicular traffic.

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_69f76e779bec8190be0e1f87a131e0f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c97be524819095a0b55d257bc835 completed May 3, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c173fba70819080d4abad86afdf26 completed June 24, 2026, 5:43 p.m.
NEDg Description generation batch_6a3c17d595a08190b8e006b7aca8421a completed June 24, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3c6ca9620c819080418d4a40073577 completed June 24, 2026, 11:47 p.m.
Created at: May 3, 2026, 4:12 p.m.