Triple

T34926094
Position Surface form Disambiguated ID Type / Status
Subject Thomas Riker E1007287 entity
Predicate settingOfOriginEvent P111438 FINISHED
Object Nervala IV station
Nervala IV station is a remote Federation research outpost in the Star Trek universe, known for the transporter accident that created the duplicate officer Thomas Riker.
 E2118113 NE FINISHED

How this triple was built (3 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: Nervala IV station | Statement: [Thomas Riker, settingOfOriginEvent, Nervala IV station]
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: Nervala IV station
Triple: [Thomas Riker, settingOfOriginEvent, Nervala IV station]
Generated description
Nervala IV station is a remote Federation research outpost in the Star Trek universe, known for the transporter accident that created the duplicate officer Thomas Riker.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: settingOfOriginEvent
Context triple: [Thomas Riker, settingOfOriginEvent, Nervala IV station]
  • A. originalLocationEvent chosen
    Indicates that an event occurred at or is associated with the place where an entity was originally located or originated.
  • B. causeOfOrigin
    Indicates that one entity is the source or initiating cause from which another entity originates or comes into existence.
  • C. physicalOrigin
    Indicates that one entity is the place or source from which another entity physically originates or comes into existence.
  • D. originatesAs
    Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
  • E. signalOrigin
    Indicates that one entity is the source or starting point from which a signal is generated or transmitted to others.
  • F. None of above.

Provenance (6 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_69f76dc3d83881909d5c3c14455cfa2c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37a8b4cad48190b0172a32a12ca535 completed June 21, 2026, 9:02 a.m.
NEDg Description generation batch_6a37a976d678819085e155f8799a1673 completed June 21, 2026, 9:05 a.m.
NED2 Entity disambiguation (via description) batch_6a37aa2b1fd08190a7e216e6c6402e48 completed June 21, 2026, 9:08 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 3, 2026, 4 p.m.