Triple

T30406953

Position	Surface form	Disambiguated ID	Type / Status
Subject	Polygon	`E773505`	entity
Predicate	token	`P49249`	FINISHED
Object	MATIC MATIC is the native cryptocurrency used for transactions, staking, and governance on the Polygon scaling network for Ethereum.	`E1912088`	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: MATIC | Statement: [Polygon, token, MATIC]

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: MATIC
Triple: [Polygon, token, MATIC]

Generated description

MATIC is the native cryptocurrency used for transactions, staking, and governance on the Polygon scaling network for Ethereum.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: token
Context triple: [Polygon, token, MATIC]

A. tokenType
Indicates the classification or category assigned to a token within a sequence, such as its syntactic, semantic, or functional role.
B. tokenizerType
Indicates the specific tokenization method or algorithm used to split text into tokens.
C. key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
D. nativeToken chosen
Indicates that the referenced token is the primary, built-in cryptocurrency or asset of a given blockchain or platform, as opposed to a secondary or issued token.
E. ticket
Indicates that an entity serves as or is associated with a ticket, typically representing authorization, access, or a record for an event, service, or transaction.
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_69f2248facd48190b183c3f3ca6daef7`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f686204b2c8190afea8470275fd875`	completed	May 2, 2026, 11:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a27895c72c881909a944eb59c90d0ec`	completed	June 9, 2026, 3:32 a.m.
NEDg	Description generation	`batch_6a278b337b0c8190b870deac9a0be21a`	completed	June 9, 2026, 3:40 a.m.
NED2	Entity disambiguation (via description)	`batch_6a278bb7c0908190999f35c9918d8d6c`	completed	June 9, 2026, 3:42 a.m.
PD	Predicate disambiguation	`batch_69f678d019fc8190913662cd2f87b857`	completed	May 2, 2026, 10:21 p.m.

Created at: April 29, 2026, 8:04 p.m.