Triple
T9646231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soda Hall |
E233200
|
entity |
| Predicate | hasStudyLounges |
P35798
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Soda Hall, hasStudyLounges, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudyLounges Context triple: [Soda Hall, hasStudyLounges, yes]
-
A.
offersStudySpaces
chosen
Indicates that one entity provides or makes available physical or virtual areas designated for studying to another entity.
-
B.
hasLoungeType
Indicates that an entity is associated with, or classified by, a particular type or category of lounge.
-
C.
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.
-
D.
hasLoungeOrCafe
Indicates that one entity provides or includes access to a lounge or café associated with another entity.
-
E.
hasLobby
Indicates that an entity includes or is equipped with a lobby area as part of its premises or structure.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b8122148190bd0af3a04b21e53e |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:12 p.m.