Triple
T1917664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asir region |
E40054
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Abha |
E214751
|
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: Abha | Statement: [Asir region, hasMajorCity, Abha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abha Context triple: [Asir region, hasMajorCity, Abha]
-
A.
Abha
chosen
Abha is a city in southwestern Saudi Arabia known for its cool highland climate, mountainous scenery, and role as a cultural and administrative center of the Asir region.
-
B.
Amritsar
Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
-
C.
Jetpur
Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
-
D.
Dhar
Dhar is a historic town and administrative center in the Indian state of Madhya Pradesh, known for its medieval forts, Islamic architecture, and cultural heritage.
-
E.
Jaisalmer
Jaisalmer is a historic city in the Indian state of Rajasthan, famed for its golden sandstone architecture, hilltop fort, and role as a former trading center on desert caravan routes.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2107fe48190bafff825f1f805ad |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbae5760819083c046d0941513de |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:35 p.m.