Triple
T17056261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamer |
E413827
|
entity |
| Predicate | hasOtherName |
P39
|
FINISHED |
| Object |
Deo Mir
Deo Mir is an alternative name for the Diamer region in northern Pakistan, known for its mountainous terrain and proximity to the western Himalayas.
|
E1247849
|
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: Deo Mir | Statement: [Diamer, hasOtherName, Deo Mir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deo Mir Context triple: [Diamer, hasOtherName, Deo Mir]
-
A.
Saman Khuda
Saman Khuda was an 8th-century Persian nobleman and landowner whose descendants founded the Samanid dynasty, a major Iranian empire in Central Asia.
-
B.
Marhi Da Deeva
Marhi Da Deeva is a landmark Punjabi novel by Gurdial Singh that poignantly portrays the struggles of marginalized rural communities in Punjab.
-
C.
Tere Naam
Tere Naam is a 2003 Hindi romantic drama film, best known for Salman Khan’s intense performance and its tragic love story.
-
D.
Ardas
Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
-
E.
Deen
Deen is a given name and surname used in various cultures, often as a variant spelling of "Dean."
- 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: Deo Mir Triple: [Diamer, hasOtherName, Deo Mir]
Generated description
Deo Mir is an alternative name for the Diamer region in northern Pakistan, known for its mountainous terrain and proximity to the western Himalayas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deo Mir Target entity description: Deo Mir is an alternative name for the Diamer region in northern Pakistan, known for its mountainous terrain and proximity to the western Himalayas.
-
A.
Saman Khuda
Saman Khuda was an 8th-century Persian nobleman and landowner whose descendants founded the Samanid dynasty, a major Iranian empire in Central Asia.
-
B.
Marhi Da Deeva
Marhi Da Deeva is a landmark Punjabi novel by Gurdial Singh that poignantly portrays the struggles of marginalized rural communities in Punjab.
-
C.
Tere Naam
Tere Naam is a 2003 Hindi romantic drama film, best known for Salman Khan’s intense performance and its tragic love story.
-
D.
Ardas
Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
-
E.
Deen
Deen is a given name and surname used in various cultures, often as a variant spelling of "Dean."
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7934e881909e9f0ae956fb0816 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012346bcfc819093cd922baa94e186 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:34 a.m.