Triple
T32990419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HOL |
E844068
|
entity |
| Predicate | isOldestBuildingOnCampus |
P175464
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HOL, isOldestBuildingOnCampus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestBuildingOnCampus Context triple: [HOL, isOldestBuildingOnCampus, true]
-
A.
oldestBuildingDate
Indicates the calendar date on which the earliest or first-constructed building in a given set or area was built or completed.
-
B.
isOldestCollegeLibraryOf
Indicates that one entity is the oldest existing college library associated with the other entity.
-
C.
isHistoricCampus
Indicates that a campus has historical significance or heritage status, often due to its age, architecture, or role in past events.
-
D.
isYoungestCampusIn
Indicates that one campus is the most recently established (youngest) among the campuses within a specified area or institution.
-
E.
oldestInstitutionIn
Indicates that an institution is the most ancient or earliest-established one within a specified location or group.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d213a4148190862c180ce546494a |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:22 a.m.