Triple
T7615780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajar |
E172357
|
entity |
| Predicate | languageNameForm |
P15
|
FINISHED |
| Object | Hajar |
E172357
|
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: Hajar | Statement: [Hajar, languageNameForm, Hajar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hajar Context triple: [Hajar, languageNameForm, Hajar]
-
A.
Hajar
chosen
Hajar is a revered figure in Islamic tradition, known as the wife of Prophet Ibrahim (Abraham) and the mother of Prophet Isma'il (Ishmael), whose faith and perseverance are commemorated in the rituals of Hajj.
-
B.
Juhayna
Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
-
C.
Sa el-Hagar
Sa el-Hagar is a modern Egyptian village located at the site of the ancient city of Sais in the Nile Delta.
-
D.
Rumaitha
Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
-
E.
Umm Hurair
Umm Hurair is a central district in Dubai, United Arab Emirates, known for its mix of residential areas, commercial centers, and proximity to major landmarks along Dubai Creek.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa4569c88190b2968403a24e7882 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8686d16808190bc431c43c0928f6e |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.