Triple
T12639000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An-Naziat |
E301841
|
entity |
| Predicate | alsoRomanizedAs |
P2508
|
FINISHED |
| Object | An-Naziat |
E301841
|
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: An-Naziat | Statement: [An-Naziat, alsoRomanizedAs, An-Naziat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An-Naziat Context triple: [An-Naziat, alsoRomanizedAs, An-Naziat]
-
A.
An-Naziat
chosen
An-Naziat is the 79th chapter of the Qur'an, known for its vivid depiction of the Day of Resurrection and the fate of past nations.
-
B.
Belqas
Belqas is a notable city in Egypt’s Dakahlia Governorate, recognized as an important local urban and administrative center in the Nile Delta region.
-
C.
An-Naba
An-Naba is the 78th chapter of the Qur’an, known for its vivid depiction of the Day of Resurrection and the consequences of belief and disbelief.
-
D.
Al-Azza
Al-Azza is a Palestinian refugee camp located near Bethlehem in the West Bank, known for its dense population and longstanding refugee community.
-
E.
al-Natsha
al-Natsha is an alternative transliteration of the Arabic surname al-Natsheh, commonly borne by Palestinian families.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c71482c819083d65c1a39e90e41 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:16 p.m.