Triple

T36610151

Position	Surface form	Disambiguated ID	Type / Status
Subject	Global Seismographic Network	`E903443`	entity
Predicate	relatedTo	`P37`	FINISHED
Object	World-Wide Standardized Seismograph Network The World-Wide Standardized Seismograph Network was an early global array of uniformly designed seismograph stations established during the mid-20th century to systematically monitor and study earthquakes and Earth’s internal structure.	`E2189863`	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: World-Wide Standardized Seismograph Network | Statement: [Global Seismographic Network, relatedTo, World-Wide Standardized Seismograph Network]

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: World-Wide Standardized Seismograph Network
Triple: [Global Seismographic Network, relatedTo, World-Wide Standardized Seismograph Network]

Generated description

The World-Wide Standardized Seismograph Network was an early global array of uniformly designed seismograph stations established during the mid-20th century to systematically monitor and study earthquakes and Earth’s internal structure.

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_69f76e6960e4819092047756ceb9a17e`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69f7c47bc42c81909070f521cdc4e0d0`	completed	May 3, 2026, 9:56 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39f92bb0808190b163b57d52515a4c`	completed	June 23, 2026, 3:10 a.m.
NEDg	Description generation	`batch_6a39f9a93c988190a41594e7acf6abe9`	completed	June 23, 2026, 3:12 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39fa5a823c8190ba039d94ce629a6c`	completed	June 23, 2026, 3:15 a.m.

Created at: May 3, 2026, 4:11 p.m.