Triple

T30863222
Position Surface form Disambiguated ID Type / Status
Subject Taiwanese National Space Organization E786119 entity
Predicate overseesProgram P86 FINISHED
Object Formosat satellite series
The Formosat satellite series is a family of Taiwanese Earth observation and scientific satellites used for applications such as environmental monitoring, disaster management, and space science research.
E1936551 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: Formosat satellite series | Statement: [Taiwanese National Space Organization, overseesProgram, Formosat satellite series]
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: Formosat satellite series
Triple: [Taiwanese National Space Organization, overseesProgram, Formosat satellite series]
Generated description
The Formosat satellite series is a family of Taiwanese Earth observation and scientific satellites used for applications such as environmental monitoring, disaster management, and space science research.

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_69f224b9df2c819086f55f8bcf7f382e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691aa2ad48190b80eff3be46cdf1e completed May 3, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7d44f248190be392500f35013ca completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28d79e0f4c81908edfb7f88e6e0f04 completed June 10, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a28d81535508190b99af1cc085f0883 completed June 10, 2026, 3:20 a.m.
Created at: April 29, 2026, 8:47 p.m.