Triple
T32013402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedok |
E817467
|
entity |
| Predicate | hasJuniorCollege |
P173113
|
FINISHED |
| Object | Temasek Junior College |
—
|
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: Temasek Junior College | Statement: [Bedok, hasJuniorCollege, Temasek Junior College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJuniorCollege Context triple: [Bedok, hasJuniorCollege, Temasek Junior College]
-
A.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
B.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
C.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
-
D.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
E.
hasSingleHighSchool
Indicates that an entity is associated with exactly one high school.
- F. None of above. chosen
Provenance (4 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b43932788190bff57095264a917d |
completed | May 3, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:15 a.m.