Triple
T4791756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangra district |
E106616
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Triund
Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
|
E470668
|
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: Triund | Statement: [Kangra district, contains, Triund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triund Context triple: [Kangra district, contains, Triund]
-
A.
Trianta
Trianta is a town on the northwest coast of the Greek island of Rhodes, historically associated with the ancient city of Ialysos and now a popular tourist resort.
-
B.
Tregerieg
Tregerieg is a regional variety of the Breton language traditionally spoken in the Trégor area of northwestern Brittany, France.
-
C.
Trebanos
Trebanos is a village in South Wales situated within the county borough of Neath Port Talbot.
-
D.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
E.
Trun
Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
- 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: Triund Triple: [Kangra district, contains, Triund]
Generated description
Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triund Target entity description: Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
-
A.
Trianta
Trianta is a town on the northwest coast of the Greek island of Rhodes, historically associated with the ancient city of Ialysos and now a popular tourist resort.
-
B.
Tregerieg
Tregerieg is a regional variety of the Breton language traditionally spoken in the Trégor area of northwestern Brittany, France.
-
C.
Trebanos
Trebanos is a village in South Wales situated within the county borough of Neath Port Talbot.
-
D.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
E.
Trun
Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ddff388190b55071ed5cae7688 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43ecf0308190941809fd13efa393 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be45b95ab48190b5d8b84c56b1a0ac |
completed | March 21, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be46e400cc8190aaa7fc42713f30c6 |
completed | March 21, 2026, 7:21 a.m. |
Created at: March 20, 2026, 1:22 p.m.