Triple
T10713057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nizamabad district |
E252588
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Armur
Armur is a town and municipal center in the Nizamabad district of Telangana, India.
|
E881040
|
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: Armur | Statement: [Nizamabad district, hasMunicipality, Armur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armur Context triple: [Nizamabad district, hasMunicipality, Armur]
-
A.
Armour
Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
-
B.
Brandish
Brandish is a notable high-speed corner on the Snaefell Mountain Course used for the Isle of Man TT motorcycle races.
-
C.
Armant
Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
-
D.
Iron Arm
Iron Arm is the nickname of William Iron Arm, a prominent 11th-century Norman adventurer and military leader in southern Italy.
-
E.
Armilla
Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
- 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: Armur Triple: [Nizamabad district, hasMunicipality, Armur]
Generated description
Armur is a town and municipal center in the Nizamabad district of Telangana, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armur Target entity description: Armur is a town and municipal center in the Nizamabad district of Telangana, India.
-
A.
Armour
Armour is a Scottish surname most famously associated with Jean Armour, the wife of poet Robert Burns.
-
B.
Brandish
Brandish is a notable high-speed corner on the Snaefell Mountain Course used for the Isle of Man TT motorcycle races.
-
C.
Armant
Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
-
D.
Iron Arm
Iron Arm is the nickname of William Iron Arm, a prominent 11th-century Norman adventurer and military leader in southern Italy.
-
E.
Armilla
Armilla is a municipality in the province of Granada, Spain, that hosts one of the campuses of the University of Granada.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe54465081909640f6d7a2314fcb |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.