Triple
T847432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Parliament (Strasbourg seat) |
E18306
|
entity |
| Predicate | numberOfPlenaryChambers |
P1545
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [European Parliament (Strasbourg seat), numberOfPlenaryChambers, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlenaryChambers Context triple: [European Parliament (Strasbourg seat), numberOfPlenaryChambers, 1]
-
A.
hasPlenaryChamber
Indicates that an institution or governing body possesses a designated plenary chamber where all members can meet and deliberate together.
-
B.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
C.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
D.
numberOfMainCommittees
Indicates the total count of primary or main committees associated with an entity.
-
E.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac0ba6b4819089c15ed7e1765502 |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa807adc8190ad808a573cf8e923 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.