Triple
T22784163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chedli Klibi |
E563917
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Klibi |
—
|
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: Klibi | Statement: [Chedli Klibi, familyName, Klibi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klibi Context triple: [Chedli Klibi, familyName, Klibi]
-
A.
Klibi
chosen
Klibi is a Tunisian surname most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
-
B.
Outremer
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
C.
Navigo
Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
-
D.
Seef
Seef is a modern commercial and residential district in Bahrain known for its shopping malls, high-rise developments, and waterfront location.
-
E.
Trevelin
Trevelin is a small town in Argentina’s Chubut Province, known for its Welsh heritage, scenic Andean landscapes, and proximity to Los Alerces National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2f9ba48190996b4c3926728c03 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.