Triple
T19432823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubb'adin |
E486156
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Jubb Adin |
—
|
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: Jubb Adin | Statement: [Jubb'adin, hasAlternativeName, Jubb Adin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jubb Adin Context triple: [Jubb'adin, hasAlternativeName, Jubb Adin]
-
A.
Jubb'adin
chosen
Jubb'adin is a village in Syria notable as one of the last remaining communities where Western Neo-Aramaic is still spoken.
-
B.
Jellaby
Jellaby is a gentle, dragon-like creature from the all-ages fantasy comic series "Jellaby" by Kean Soo, where it befriends a lonely girl and accompanies her on mysterious adventures.
-
C.
Jellaby
Jellaby is a minor but memorable character in Tom Stoppard’s play "Arcadia," serving as the butler whose presence adds humor and helps frame the household’s social world.
-
D.
Rabil
Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
-
E.
Obeidat
Obeidat is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335c2d7481909a44b45d95492e02 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.