Triple
T24081002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanese Ministry of Education and Higher Education |
E596502
|
entity |
| Predicate | currencyOfJurisdiction |
P154774
|
FINISHED |
| Object | Lebanese pound |
—
|
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: Lebanese pound | Statement: [Lebanese Ministry of Education and Higher Education, currencyOfJurisdiction, Lebanese pound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfJurisdiction Context triple: [Lebanese Ministry of Education and Higher Education, currencyOfJurisdiction, Lebanese pound]
-
A.
countryOfJurisdiction
Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
-
B.
countryJurisdiction
Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
-
C.
canonicalJurisdictionOf
Indicates that one entity holds official legal or ecclesiastical authority over another entity or domain as its recognized jurisdiction.
-
D.
languageOfJurisdiction
Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
-
E.
countryOfProsecution
Indicates the country in which legal prosecution of an entity or case takes place.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2351e08190857d57f266d1d4bf |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:43 p.m.