Triple
T13957367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batura Muztagh |
E335700
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Yukshin Gardan Sar
Yukshin Gardan Sar is a prominent high-altitude mountain peak in the Karakoram range of Pakistan, known for its challenging climbing routes and extensive glaciation.
|
E1071621
|
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: Yukshin Gardan Sar | Statement: [Batura Muztagh, hasPeak, Yukshin Gardan Sar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yukshin Gardan Sar Context triple: [Batura Muztagh, hasPeak, Yukshin Gardan Sar]
-
A.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
D.
Yan Taru
Yan Taru is a 19th-century Muslim women’s educational network and movement in the Sokoto Caliphate, dedicated to teaching and spreading Islamic knowledge among women.
-
E.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
- 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: Yukshin Gardan Sar Triple: [Batura Muztagh, hasPeak, Yukshin Gardan Sar]
Generated description
Yukshin Gardan Sar is a prominent high-altitude mountain peak in the Karakoram range of Pakistan, known for its challenging climbing routes and extensive glaciation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yukshin Gardan Sar Target entity description: Yukshin Gardan Sar is a prominent high-altitude mountain peak in the Karakoram range of Pakistan, known for its challenging climbing routes and extensive glaciation.
-
A.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
D.
Yan Taru
Yan Taru is a 19th-century Muslim women’s educational network and movement in the Sokoto Caliphate, dedicated to teaching and spreading Islamic knowledge among women.
-
E.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d27a0c8190b5d95ea86fc1a420 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6af4ed881908cb4b79cfa40977c |
completed | May 6, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.