Triple
T32633707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxila Central College, Horana |
E834290
|
entity |
| Predicate | countryOfCitizenshipForStudents |
P2
|
FINISHED |
| Object | Sri Lanka |
—
|
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: Sri Lanka | Statement: [Taxila Central College, Horana, countryOfCitizenshipForStudents, Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCitizenshipForStudents Context triple: [Taxila Central College, Horana, countryOfCitizenshipForStudents, Sri Lanka]
-
A.
countryOfCitizenshipOfMostStudents
Indicates the country in which the largest number of the students hold citizenship.
-
B.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
C.
possibleCountryOfCitizenship
Indicates that an entity could plausibly be a country in which the person or agent may hold, or be eligible to hold, citizenship.
-
D.
countryOfOriginOfStudents
Indicates the country from which the students originate or have their primary national affiliation.
-
E.
studentNationality
Indicates that a student has a particular nationality or country of citizenship.
- 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
Created at: May 1, 2026, 1:07 a.m.