Triple
T15254586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brookline Avenue |
E364611
|
entity |
| Predicate | servesInstitutionCluster |
P31588
|
FINISHED |
| Object | Harvard Medical School area |
—
|
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: Harvard Medical School area | Statement: [Brookline Avenue, servesInstitutionCluster, Harvard Medical School area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesInstitutionCluster Context triple: [Brookline Avenue, servesInstitutionCluster, Harvard Medical School area]
-
A.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
-
B.
servesInstitutionalArea
chosen
Indicates that an entity provides services or functions in support of a specific institutional area or domain.
-
C.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
D.
campusCluster
Indicates a relationship where multiple campus locations or facilities are grouped or associated together as part of the same cluster or complex.
-
E.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.