Triple
T13547612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axios |
E323552
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Axios Local |
E323552
|
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: Axios Local | Statement: [Axios, hasSubsidiary, Axios Local]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axios Local Context triple: [Axios, hasSubsidiary, Axios Local]
-
A.
Axios
chosen
Axios is a digital media company known for its concise, bullet-point-driven coverage of politics, business, technology, and media.
-
B.
Axios
Axios is a river god in Greek mythology, associated with the Axios (Vardar) River in the Balkans and counted among the Potamoi, the divine personifications of rivers.
-
C.
Concourse Local
Concourse Local is a New York City Subway service that operates along the IND Concourse Line in the Bronx, making local stops including Bedford Park Boulevard–Lehman College.
-
D.
Apollo Client
Apollo Client is a popular open-source JavaScript state management and data-fetching library designed to work seamlessly with GraphQL APIs on the client side.
-
E.
Nuxt Labs
Nuxt Labs is the company behind the Nuxt.js framework, focused on building tools and services for modern Vue-based web development.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafdb466881908fb46642dc66849d |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da2c2008190b43a653a349ea0c7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.