Triple
T13036124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 (school) |
E326563
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | 42 Network |
E1018608
|
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: 42 Network | Statement: [42 (school), network, 42 Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 42 Network Context triple: [42 (school), network, 42 Network]
-
A.
42 Network
chosen
42 Network is a global, tuition-free coding education organization that runs peer-to-peer, project-based programming schools around the world.
-
B.
Sunshine Network
Sunshine Network is a regional sports television network known for broadcasting local and collegiate sporting events.
-
C.
Emerald Network
The Emerald Network is a pan-European ecological network of protected areas aimed at conserving habitats and species of special importance under the Bern Convention.
-
D.
Aurora Network
Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
-
E.
The Network
The Network is an organization or collective with which Balducci is professionally or formally associated.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5fa10fc81908a37b85894f8f849 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:55 p.m.