Triple
T1860859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiwa Campus |
E34806
|
entity |
| Predicate | hasResearchInstitute |
P186
|
FINISHED |
| Object | ISSP |
E186185
|
NE 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: ISSP | Statement: [Kashiwa Campus, hasResearchInstitute, ISSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISSP Context triple: [Kashiwa Campus, hasResearchInstitute, ISSP]
-
A.
ISSP
chosen
ISSP is a renowned research institute of the University of Tokyo specializing in condensed matter and solid state physics.
-
B.
IAS
IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
-
C.
IPS
IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
-
D.
ISI
ISI is an organization that inspects and regulates independent schools to ensure they meet required educational and welfare standards.
-
E.
ISCAS
ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09caee881908efe8aa38471298c |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d026748190a507872de85c908d |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.