Triple
T3865515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satpara Lake |
E91842
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Skardu |
E88385
|
NE FINISHED |
How this triple was built (2 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: Skardu | Statement: [Satpara Lake, near, Skardu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skardu Context triple: [Satpara Lake, near, Skardu]
-
A.
Skardu
chosen
Skardu is a major town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and popular for its high-altitude trekking and scenic landscapes.
-
B.
Gilgit
Gilgit is a major town in northern Pakistan that serves as a key regional hub for trade, tourism, and access to the Karakoram mountain range.
-
C.
Khaplu
Khaplu is a historic town in northern Pakistan’s Gilgit-Baltistan region, known as a gateway to the Karakoram mountains and for its traditional Balti culture and architecture.
-
D.
Shigar Valley
Shigar Valley is a remote, high-altitude valley in Gilgit-Baltistan, Pakistan, known as a gateway to the Karakoram mountains and major trekking routes including those to K2.
-
E.
Umarkot
Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3a253c81909df7dc0422ff7989 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53375ba7c819092449fe911bfc4fa |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:19 p.m.