Triple

T33397012
Position Surface form Disambiguated ID Type / Status
Subject ITRS E855198 entity
Predicate realization P56588 FINISHED
Object International Terrestrial Reference Frame
The International Terrestrial Reference Frame is a globally adopted, highly precise three-dimensional coordinate system used to define positions and motions on the Earth’s surface for geodesy, navigation, and Earth science applications.
E242103 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: International Terrestrial Reference Frame | Statement: [ITRS, realization, International Terrestrial Reference Frame]
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: International Terrestrial Reference Frame
Triple: [ITRS, realization, International Terrestrial Reference Frame]
Generated description
The International Terrestrial Reference Frame is a globally adopted, highly precise three-dimensional coordinate system used to define positions and motions on the Earth’s surface for geodesy, navigation, and Earth science applications.

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_69f3496e3f1c8190bcecfa82aa9d17ff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e40fd7408190952aa49024a3f403 completed May 3, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a358149b174819089ee694622efbab1 completed June 19, 2026, 5:50 p.m.
NEDg Description generation batch_6a35820972dc81908d3854fd2eae1288 completed June 19, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a35828addb4819094e945cfbf65b72a completed June 19, 2026, 5:55 p.m.
Created at: May 1, 2026, 1:35 a.m.