Triple
T677136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ's College, Cambridge |
E13101
|
entity |
| Predicate | hasAccommodation |
P17960
|
FINISHED |
| Object | on-site student rooms |
—
|
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: on-site student rooms | Statement: [Christ's College, Cambridge, hasAccommodation, on-site student rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccommodation Context triple: [Christ's College, Cambridge, hasAccommodation, on-site student rooms]
-
A.
hasResortHotel
Indicates that one entity owns, includes, or is associated with a resort hotel as part of its facilities or offerings.
-
B.
containsReservation
Indicates that one entity includes or holds a reservation associated with another entity.
-
C.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
D.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
E.
reservationSystem
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04c89148190b6330e86697bb37b |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1bbd0c81909cfbec30bd17bde7 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49ebf33c481909949526cb8f223dd |
completed | March 1, 2026, 8:17 p.m. |
Created at: March 1, 2026, 7:36 p.m.