Triple
T13036032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station F |
E326562
|
entity |
| Predicate | numberOfDesks |
P107560
|
FINISHED |
| Object | more than 3,000 desks |
—
|
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: more than 3,000 desks | Statement: [Station F, numberOfDesks, more than 3,000 desks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDesks Context triple: [Station F, numberOfDesks, more than 3,000 desks]
-
A.
numberOfOffices
Indicates the total count of offices associated with a given entity.
-
B.
benchCount
Indicates the number of benches associated with a given entity or location.
-
C.
capacityPerChair
Indicates the amount of capacity (such as weight, volume, or occupancy) that is assigned to or supported by each individual chair.
-
D.
hasChairCount
Indicates the number of chairs associated with a given entity.
-
E.
numberOfCommonsSeats
Indicates the number of seats an entity holds or is allocated in the House of Commons.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:55 p.m.