Triple
T31546250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hague branch |
E804879
|
entity |
| Predicate | numberOfSeatsInIRMCT |
P55873
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Hague branch, numberOfSeatsInIRMCT, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSeatsInIRMCT Context triple: [Hague branch, numberOfSeatsInIRMCT, 2]
-
A.
maximumNumberOfSeats
Indicates the greatest allowable or physically available number of seats associated with an entity or context.
-
B.
individualSeats
Indicates that an entity provides or consists of separate, single-person seating positions rather than shared or bench-style seating.
-
C.
IFPSeats
Indicates that an entity has a specified number or configuration of seats in an International First/Front/Flight Passenger (IFP) seating context.
-
D.
numberOfListSeats
Indicates the total count of seats allocated from a party or group list within a representative body or election system.
-
E.
currentNumberOfSeats
chosen
Indicates the present total count of seats associated with an entity or context.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0120f070b081909b6d1a3d8ee6b80e |
completed | May 11, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_6a01209da37481909683e38f264b15ef |
completed | May 11, 2026, 12:19 a.m. |
Created at: April 30, 2026, 10:08 p.m.