Triple
T7155574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacGregor House (W61) |
E166802
|
entity |
| Predicate | hasRoomConfiguration |
P13644
|
FINISHED |
| Object | suite-based 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: suite-based rooms | Statement: [MacGregor House (W61), hasRoomConfiguration, suite-based rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoomConfiguration Context triple: [MacGregor House (W61), hasRoomConfiguration, suite-based rooms]
-
A.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
B.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
C.
hasMapRoom
Indicates that an entity includes or provides access to a dedicated room or space used for displaying or working with maps.
-
D.
hasChangingRooms
Indicates that a place or facility provides designated rooms where people can change their clothes.
-
E.
hasConferenceSpace
Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80c747c8190a017a2b1c3e78a3f |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.