Triple

T16692458
Position Surface form Disambiguated ID Type / Status
Subject Orb-1 E405627 entity
Predicate precededBy P97 FINISHED
Object Orb-D1
Orb-D1 is an earlier experimental or prototype version in the Orb series that was later succeeded by Orb-1.
 E1229103 NE FINISHED

How this triple was built (4 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: Orb-D1 | Statement: [Orb-1, precededBy, Orb-D1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orb-D1
Context triple: [Orb-1, precededBy, Orb-D1]
  • A. Orb-1
    Orb-1 was the first operational cargo resupply mission flown by Orbital Sciences’ Cygnus spacecraft to the International Space Station under NASA’s Commercial Resupply Services program.
  • B. Orb
    The Orb is a ceremonial piece of royal regalia symbolizing monarchical authority and Christian sovereignty, traditionally held by the monarch during British coronations.
  • C. Orb
    The Orb is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • D. Orb
    Orb is a biometric imaging device developed for the Worldcoin project that scans people’s irises to create unique digital identities.
  • E. Orbitron
    Orbitron is a retro-futuristic spinning rocket ride in Disneyland’s Tomorrowland that lets guests pilot spacecraft high above the land.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Orb-D1
Triple: [Orb-1, precededBy, Orb-D1]
Generated description
Orb-D1 is an earlier experimental or prototype version in the Orb series that was later succeeded by Orb-1.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orb-D1
Target entity description: Orb-D1 is an earlier experimental or prototype version in the Orb series that was later succeeded by Orb-1.
  • A. Orb-1
    Orb-1 was the first operational cargo resupply mission flown by Orbital Sciences’ Cygnus spacecraft to the International Space Station under NASA’s Commercial Resupply Services program.
  • B. Orb
    The Orb is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • C. Orb
    The Orb is a ceremonial piece of royal regalia symbolizing monarchical authority and Christian sovereignty, traditionally held by the monarch during British coronations.
  • D. Orb
    Orb is a biometric imaging device developed for the Worldcoin project that scans people’s irises to create unique digital identities.
  • E. Orbitron
    Orbitron is a retro-futuristic spinning rocket ride in Disneyland’s Tomorrowland that lets guests pilot spacecraft high above the land.
  • F. None of above. chosen

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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eaacb948190954231c9e97a4adf completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091984dcc8190b0b20d2e57bc3a11 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a0092244d788190b24f56f0b166dc20 completed May 10, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_6a00929d803881908d0bb6c566cd112a completed May 10, 2026, 2:13 p.m.
Created at: April 10, 2026, 5:19 a.m.