Triple
T35382568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lung Yeuk Tau |
E1022689
|
entity |
| Predicate | hasStudyHall |
P94468
|
FINISHED |
| Object | Lung Yeuk Tau Study Hall |
—
|
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: Lung Yeuk Tau Study Hall | Statement: [Lung Yeuk Tau, hasStudyHall, Lung Yeuk Tau Study Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudyHall Context triple: [Lung Yeuk Tau, hasStudyHall, Lung Yeuk Tau Study Hall]
-
A.
hasStudied
Indicates that an entity has engaged in learning or academic work related to another entity (such as a subject, field, or course).
-
B.
isStudiedIn
Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
-
C.
hasStudentBodyAt
Indicates that an educational institution has its student body located at or associated with a particular site or campus.
-
D.
hasLectureHall
chosen
Indicates that an entity possesses, includes, or is associated with a lecture hall as part of its facilities or structure.
-
E.
hasGymnasium
Indicates that one entity possesses, includes, or is equipped with a gymnasium as a facility or feature.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:03 p.m.