Triple
T32388498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEAK |
E827601
|
entity |
| Predicate | hostUniversityAbbreviation |
P789
|
FINISHED |
| Object | UTokyo |
—
|
NE NERFINISHED |
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: UTokyo | Statement: [PEAK, hostUniversityAbbreviation, UTokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostUniversityAbbreviation Context triple: [PEAK, hostUniversityAbbreviation, UTokyo]
-
A.
universityAbbreviation
chosen
Indicates that one term is the standard shortened or abbreviated form of the name of a university.
-
B.
hostUniversity
Indicates that a university serves as the primary institution hosting, organizing, or providing the setting for a given entity or activity (such as a program, event, or affiliation).
-
C.
homeInstitutionAbbreviation
Indicates that an entity is associated with a home institution identified by a specific abbreviated name or code.
-
D.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
E.
universityName
Indicates the official name associated with a particular university.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1d3dea88190985d0faef0c85551 |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:52 a.m.