Triple
T18873243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EU sectoral social dialogue for transport |
E461621
|
entity |
| Predicate | includesSubdialogue |
P133289
|
FINISHED |
| Object | EU sectoral social dialogue for railways |
—
|
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: EU sectoral social dialogue for railways | Statement: [EU sectoral social dialogue for transport, includesSubdialogue, EU sectoral social dialogue for railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSubdialogue Context triple: [EU sectoral social dialogue for transport, includesSubdialogue, EU sectoral social dialogue for railways]
-
A.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
B.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
hasSubrole
Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
-
D.
hasMultilingualDialogue
Indicates that an interaction or work contains dialogue expressed in more than one language.
-
E.
hasSubscene
Indicates that a scene is composed of or contains another scene as a subordinate or nested part.
- F. None of above. chosen
Provenance (4 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2ab4bb4819086ae98a38dd9b11b |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.