Triple
T34584528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUS Faculty of Law |
E888005
|
entity |
| Predicate | regionRankedIn |
P13048
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [NUS Faculty of Law, regionRankedIn, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionRankedIn Context triple: [NUS Faculty of Law, regionRankedIn, Asia]
-
A.
regionRankContext
chosen
Indicates the relative ranking or position of something within a specific geographic or regional context.
-
B.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
C.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
D.
rankedAmong
Indicates that an entity holds a specific position or status within a defined group, list, or hierarchy of comparable entities.
-
E.
rankInCountry
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
Created at: May 1, 2026, 2:03 a.m.