Triple
T6520861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Simmons Hall |
E151176
|
entity |
| Predicate | residentialCapacity |
P1931
|
FINISHED |
| Object | approximately 340 students |
—
|
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: approximately 340 students | Statement: [MIT Simmons Hall, residentialCapacity, approximately 340 students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residentialCapacity Context triple: [MIT Simmons Hall, residentialCapacity, approximately 340 students]
-
A.
typicalCapacity
chosen
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
B.
isResidentialBaseFor
Indicates that a location serves as the primary place of residence or home base for a person or group.
-
C.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
-
D.
residentialSystem
Indicates a system, structure, or arrangement that is specifically designed for, associated with, or functioning within residential living environments.
-
E.
numberOfHousingUnits
Indicates the total count of distinct housing units associated with an entity or within a specified area.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.