Triple
T15280401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amreli district |
E365252
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Khambha
Khambha is a town in the Amreli district of Gujarat, India, known primarily as a local commercial and agricultural center.
|
E1151653
|
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: Khambha | Statement: [Amreli district, contains, Khambha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khambha Context triple: [Amreli district, contains, Khambha]
-
A.
Khambatta
Khambatta is the surname of Persis Khambatta, the Indian model and actress best known for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
B.
Chambiali
Chambiali is an Indo-Aryan language variety spoken in parts of the Himachal Pradesh region of northern India.
-
C.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
D.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
E.
Khandela
Khandela is a prominent town in Rajasthan, India, known historically as a local trading and cultural center in the Sikar region.
- 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: Khambha Triple: [Amreli district, contains, Khambha]
Generated description
Khambha is a town in the Amreli district of Gujarat, India, known primarily as a local commercial and agricultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khambha Target entity description: Khambha is a town in the Amreli district of Gujarat, India, known primarily as a local commercial and agricultural center.
-
A.
Khambatta
Khambatta is the surname of Persis Khambatta, the Indian model and actress best known for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
B.
Chambiali
Chambiali is an Indo-Aryan language variety spoken in parts of the Himachal Pradesh region of northern India.
-
C.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
D.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
E.
Khandela
Khandela is a prominent town in Rajasthan, India, known historically as a local trading and cultural center in the Sikar region.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e092408190aec1561e78ea0acb |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff028330688190b9ff26d1f349bcf9 |
completed | May 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff042899fc8190b784d2d2ff1760e7 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 10, 2026, 3:15 a.m.