Triple
T21032725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimla district |
E518103
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chopal
Chopal is a small town and tehsil in the Shimla district of Himachal Pradesh, India, known for its apple orchards and scenic Himalayan surroundings.
|
E1464092
|
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: Chopal | Statement: [Shimla district, contains, Chopal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chopal Context triple: [Shimla district, contains, Chopal]
-
A.
Chopi
Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
-
B.
Chopanki
Chopanki is an industrial locality near Bhiwadi in Rajasthan, India, known for its manufacturing and factory clusters.
-
C.
Khapoli
Khapoli is a town in Maharashtra, India, that serves as a suburban railway terminus on Mumbai’s Central Line and a gateway to nearby industrial areas and hill-station destinations.
-
D.
Chapora
Chapora is a coastal village in North Goa, India, known for its scenic beach, historic fort, and vibrant backpacker and nightlife scene.
-
E.
Jipal
Jipal is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
- 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: Chopal Triple: [Shimla district, contains, Chopal]
Generated description
Chopal is a small town and tehsil in the Shimla district of Himachal Pradesh, India, known for its apple orchards and scenic Himalayan surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chopal Target entity description: Chopal is a small town and tehsil in the Shimla district of Himachal Pradesh, India, known for its apple orchards and scenic Himalayan surroundings.
-
A.
Chopi
Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
-
B.
Chopanki
Chopanki is an industrial locality near Bhiwadi in Rajasthan, India, known for its manufacturing and factory clusters.
-
C.
Khapoli
Khapoli is a town in Maharashtra, India, that serves as a suburban railway terminus on Mumbai’s Central Line and a gateway to nearby industrial areas and hill-station destinations.
-
D.
Chapora
Chapora is a coastal village in North Goa, India, known for its scenic beach, historic fort, and vibrant backpacker and nightlife scene.
-
E.
Jipal
Jipal is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc83828c81909c1ec745c0313c9f |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a094747bcec8190beadedbe6dde96d0 |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a094a3eaef881908083e8f7e03f4f07 |
completed | May 17, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094aa6baf8819088ccc84f41640bf6 |
completed | May 17, 2026, 4:57 a.m. |
Created at: April 16, 2026, 1:56 p.m.