Triple
T22483128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taysir |
E555814
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Tayssir |
—
|
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: Tayssir | Statement: [Taysir, transliterationVariant, Tayssir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tayssir Context triple: [Taysir, transliterationVariant, Tayssir]
-
A.
Taysir
chosen
Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
-
B.
Skhirat
Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
-
C.
Tafas
Tafas is a town in southern Syria located in the Daraa Governorate, known for its agricultural surroundings and its role in regional events during the Syrian conflict.
-
D.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
E.
Jabriya
Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3b03d881909e286a124c1a2b1c |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.