Triple
T6020517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruzgan Province |
E134050
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
|
E562228
|
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: Oruzgan | Statement: [Uruzgan Province, alternativeName, Oruzgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oruzgan Context triple: [Uruzgan Province, alternativeName, Oruzgan]
-
A.
Pashai
The Pashai are an indigenous ethnic group of eastern Afghanistan, known for their distinct Indo-Aryan language and traditional mountain-based agrarian lifestyle.
-
B.
Camarate
Camarate is a civil parish in the municipality of Loures, near Lisbon in Portugal, known primarily as a residential suburb with historical ties to the Lisbon metropolitan area.
-
C.
Waris
Waris is the given name of Waris Shah, the renowned 18th-century Punjabi Sufi poet best known for his epic romance "Heer Ranjha."
-
D.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
-
E.
Konjara
Konjara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
- 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: Oruzgan Triple: [Uruzgan Province, alternativeName, Oruzgan]
Generated description
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oruzgan Target entity description: Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
-
A.
Pashai
The Pashai are an indigenous ethnic group of eastern Afghanistan, known for their distinct Indo-Aryan language and traditional mountain-based agrarian lifestyle.
-
B.
Camarate
Camarate is a civil parish in the municipality of Loures, near Lisbon in Portugal, known primarily as a residential suburb with historical ties to the Lisbon metropolitan area.
-
C.
Waris
Waris is the given name of Waris Shah, the renowned 18th-century Punjabi Sufi poet best known for his epic romance "Heer Ranjha."
-
D.
Unzaga
Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
-
E.
Konjara
Konjara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fba86a48190984e95d5adf7c7f1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108be2170819084b4b940e52b0185 |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c10abc9aa08190acf1ced6a8be322e |
completed | March 23, 2026, 9:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10b5c118c8190aaf5461c40472022 |
completed | March 23, 2026, 9:43 a.m. |
Created at: March 22, 2026, 4:07 p.m.