Triple
T28652719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Thomian |
E725242
|
entity |
| Predicate | countryOfEducationalInstitution |
P308
|
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: [Old Thomian, countryOfEducationalInstitution, Sri Lanka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfEducationalInstitution Context triple: [Old Thomian, countryOfEducationalInstitution, Sri Lanka]
-
A.
countryOfInstitution
chosen
Indicates the country in which an institution is located or officially based.
-
B.
countryOfStud
Indicates that a person is studying or has studied in the specified country.
-
C.
countryOfStudy
Indicates that an entity pursued or is pursuing studies in the specified country.
-
D.
countryOfResearch
Indicates the country where the research activity was primarily conducted or based.
-
E.
homeCountryUniversitySystem
Indicates that a university operates within and is governed by the higher-education system of a specified home country.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 28, 2026, 4:53 a.m.