Triple
T25966554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT MacGregor House |
E645686
|
entity |
| Predicate | hasCommonArea |
P192037
|
FINISHED |
| Object | suite lounges |
—
|
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 lounges | Statement: [MIT MacGregor House, hasCommonArea, suite lounges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonArea Context triple: [MIT MacGregor House, hasCommonArea, suite lounges]
-
A.
hasFamilyArea
Indicates a relationship where an entity possesses or includes a designated area intended for family use or family-related activities.
-
B.
hasCentralAreaUse
Indicates that an entity’s central area is used or designated for a particular function or purpose.
-
C.
hasCommonRoomEntranceType
Indicates that two or more rooms share the same type or style of entrance.
-
D.
haveSharedInfrastructure
Indicates that two or more entities use or depend on the same underlying physical or virtual infrastructure resources.
-
E.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: April 22, 2026, 8:48 a.m.