Triple
T1645301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirokanedai Campus |
E35567
|
entity |
| Predicate | servesLevel |
P3870
|
FINISHED |
| Object | graduate 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: graduate students | Statement: [Shirokanedai Campus, servesLevel, graduate students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLevel Context triple: [Shirokanedai Campus, servesLevel, graduate students]
-
A.
servesMostly
Indicates that one entity primarily functions to serve, support, or cater to another entity, more than to any other.
-
B.
servesLine
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
-
C.
servesUnder
Indicates that one entity works in a subordinate role under the authority, command, or supervision of another entity.
-
D.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
-
E.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.