Triple
T7155634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker House (W7) |
E166803
|
entity |
| Predicate | hasDiningFacility |
P12416
|
FINISHED |
| Object |
Baker Dining
Baker Dining is the dining hall that serves residents and visitors of Baker House at MIT.
|
E645685
|
NE FINISHED |
How this triple was built (4 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: Baker Dining | Statement: [Baker House (W7), hasDiningFacility, Baker Dining]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baker Dining Context triple: [Baker House (W7), hasDiningFacility, Baker Dining]
-
A.
Dockside Diner
Dockside Diner is a casual, retro-themed quick-service restaurant located on the shores of Echo Lake in Disney’s Hollywood Studios.
-
B.
Busch Dining Hall
Busch Dining Hall is a major campus dining facility at Rutgers University's Busch Campus, serving students, faculty, and staff with a variety of meal options.
-
C.
Baker’s
Baker’s is a regional American supermarket chain known for offering a full range of groceries and household goods.
-
D.
Commons Dining Hall
Commons Dining Hall is a historic central dining facility at Yale University, known for its grand architecture and role as a major campus gathering space.
-
E.
Sylvia’s Restaurant
Sylvia’s Restaurant is a famed soul food eatery in Harlem, New York City, celebrated as a cultural institution and gathering place for locals, celebrities, and politicians alike.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Baker Dining Triple: [Baker House (W7), hasDiningFacility, Baker Dining]
Generated description
Baker Dining is the dining hall that serves residents and visitors of Baker House at MIT.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baker Dining Target entity description: Baker Dining is the dining hall that serves residents and visitors of Baker House at MIT.
-
A.
Dockside Diner
Dockside Diner is a casual, retro-themed quick-service restaurant located on the shores of Echo Lake in Disney’s Hollywood Studios.
-
B.
Busch Dining Hall
Busch Dining Hall is a major campus dining facility at Rutgers University's Busch Campus, serving students, faculty, and staff with a variety of meal options.
-
C.
Baker’s
Baker’s is a regional American supermarket chain known for offering a full range of groceries and household goods.
-
D.
Commons Dining Hall
Commons Dining Hall is a historic central dining facility at Yale University, known for its grand architecture and role as a major campus gathering space.
-
E.
Sylvia’s Restaurant
Sylvia’s Restaurant is a famed soul food eatery in Harlem, New York City, celebrated as a cultural institution and gathering place for locals, celebrities, and politicians alike.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adb530388190b68fa05418d3e184 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae830c74819091d6d65ac6fba32b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af1133b08190a32dccf82015c19e |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:47 p.m.