Triple
T15366278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apure State |
E367421
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Meta River |
E73759
|
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: Meta River | Statement: [Apure State, traversedBy, Meta River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meta River Context triple: [Apure State, traversedBy, Meta River]
-
A.
Meta River
chosen
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
B.
Cronos Chain
Cronos Chain is a decentralized, EVM-compatible blockchain network developed within the Crypto.com ecosystem to support scalable DeFi, NFT, and Web3 applications.
-
C.
Worldcoin
Worldcoin is a cryptocurrency and digital identity project that aims to create a global financial network by uniquely verifying individuals, co-founded by Sam Altman.
-
D.
Gnosis Chain
Gnosis Chain is an Ethereum-compatible, community-governed blockchain focused on low-cost, secure transactions and decentralized applications.
-
E.
MiriadaX
MiriadaX is an online learning platform that provides Spanish-language massive open online courses (MOOCs) from universities and educational institutions across the Ibero-American region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13457418819088232270b092c969 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.