Triple
T12402510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leverett House |
E296292
|
entity |
| Predicate | hasResidentialSystemFeature |
P62756
|
FINISHED |
| Object | Faculty Deans |
—
|
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: Faculty Deans | Statement: [Leverett House, hasResidentialSystemFeature, Faculty Deans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialSystemFeature Context triple: [Leverett House, hasResidentialSystemFeature, Faculty Deans]
-
A.
hasHouseholdFeature
Indicates that a household possesses or includes a specific feature, attribute, or amenity.
-
B.
hasHomeFeature
Indicates that a home possesses or includes a particular feature or amenity.
-
C.
residentialSystem
Indicates a system, structure, or arrangement that is specifically designed for, associated with, or functioning within residential living environments.
-
D.
hasResidenceFeature
chosen
Indicates that a residence possesses or is characterized by a specific feature or attribute.
-
E.
hasRenewableEnergySystem
Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.