Triple
T8955597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Natsheh |
E213463
|
entity |
| Predicate | hasTransliterationVariant |
P5923
|
FINISHED |
| Object | al-Natshe |
E213463
|
NE FINISHED |
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: al-Natshe | Statement: [al-Natsheh, hasTransliterationVariant, al-Natshe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Natshe Context triple: [al-Natsheh, hasTransliterationVariant, al-Natshe]
-
A.
al-Natsha
al-Natsha is an alternative transliteration of the Arabic surname al-Natsheh, commonly borne by Palestinian families.
-
B.
al-Natsheh
chosen
al-Natsheh is an Arabic family name associated with Palestinian individuals and families, including political and public figures.
-
C.
al‑Najāshī
al-Najāshī is the title used in Islamic tradition for the just Christian king of Abyssinia who granted refuge to early Muslim emigrants from Mecca.
-
D.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
-
E.
Nassef
Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6726cec48190a900ae52b1522adb |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd09e378c8190bb9f5d78a3b91fe7 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7 p.m.