Triple
T3148003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antenne 2 |
E65808
|
entity |
| Predicate | positionInCountryNetwork |
P35754
|
FINISHED |
| Object | second national network |
—
|
LITERAL 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: second national network | Statement: [Antenne 2, positionInCountryNetwork, second national network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCountryNetwork Context triple: [Antenne 2, positionInCountryNetwork, second national network]
-
A.
positionInNetwork
chosen
Indicates the specific role or location an entity occupies within a network’s structure or topology.
-
B.
positionInNationalSystem
Indicates the role or status an entity holds within a country's official organizational or administrative structure.
-
C.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
D.
positionOnEuro
Indicates that an entity holds a specific official role or position within the institutions or organizational structure of the European Union.
-
E.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
- F. None of above.
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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.