Triple

T16580780
Position Surface form Disambiguated ID Type / Status
Subject A614 E402823 entity
Predicate passesNear P416 FINISHED
Object Goole E34428 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: Goole | Statement: [A614, passesNear, Goole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goole
Context triple: [A614, passesNear, Goole]
  • A. Goole chosen
    Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
  • B. Google
    Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
  • C. OGLE
    OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
  • D. Bing
    Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
  • E. Baidu
    Baidu is a leading Chinese technology company best known for its dominant search engine and extensive work in artificial intelligence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35960834c819080eed0c9f32b881d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef0bc4c8190b06b03c06d344abf completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.