Triple
T16756284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Najdat |
E407213
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object | Azariqa |
E407212
|
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: Azariqa | Statement: [Najdat, relatedGroup, Azariqa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azariqa Context triple: [Najdat, relatedGroup, Azariqa]
-
A.
Azariqa
chosen
Azariqa was a radical early Islamic sect of the Kharijite movement known for its extreme doctrinal positions and militant opposition to the ruling caliphate.
-
B.
Azara
Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
-
C.
Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
-
D.
Dar Aziza
Dar Aziza is a historic Ottoman-era palace in the Casbah of Algiers, noted for its traditional Algerian architecture and cultural significance.
-
E.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe831ec8190bac05b07db6153c1 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52886e48190b7a1e6fccd9a5709 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.