Triple
T22773247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Mada’in |
E563614
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rumiya
Rumiya was a principal urban quarter of the ancient city complex of Al-Mada’in near Ctesiphon, historically significant within the Sasanian and early Islamic periods in Mesopotamia.
|
E1552938
|
NE FINISHED |
How this triple was built (4 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: Rumiya | Statement: [Al-Mada’in, contains, Rumiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumiya Context triple: [Al-Mada’in, contains, Rumiya]
-
A.
Ruhaya
Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
-
B.
Rabiya
Rabiya is a residential area and suburb located within Kuwait’s Al Farwaniyah Governorate.
-
C.
Rumaitha
Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
-
D.
Shamsa
Shamsa is a member of Dubai’s ruling Al Maktoum family, known internationally for her alleged abduction and forced return to the United Arab Emirates after attempting to escape in 2000.
-
E.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rumiya Triple: [Al-Mada’in, contains, Rumiya]
Generated description
Rumiya was a principal urban quarter of the ancient city complex of Al-Mada’in near Ctesiphon, historically significant within the Sasanian and early Islamic periods in Mesopotamia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rumiya Target entity description: Rumiya was a principal urban quarter of the ancient city complex of Al-Mada’in near Ctesiphon, historically significant within the Sasanian and early Islamic periods in Mesopotamia.
-
A.
Ruhaya
Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
-
B.
Rabiya
Rabiya is a residential area and suburb located within Kuwait’s Al Farwaniyah Governorate.
-
C.
Rumaitha
Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
-
D.
Shamsa
Shamsa is a member of Dubai’s ruling Al Maktoum family, known internationally for her alleged abduction and forced return to the United Arab Emirates after attempting to escape in 2000.
-
E.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
- F. None of above. chosen
Provenance (5 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b6040048190a36fa759e06136ea |
completed | April 29, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9822db848190b8498f7bc47bf7e2 |
completed | May 18, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a0b98e33b78819084ac449dd47cc778 |
completed | May 18, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9996e05c8190ad2cb5704bb4c245 |
completed | May 18, 2026, 10:58 p.m. |
Created at: April 17, 2026, 3:27 p.m.