Triple
T14271734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navsari district |
E353802
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Gandevi
Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
|
E1092470
|
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: Gandevi | Statement: [Navsari district, hasTown, Gandevi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gandevi Context triple: [Navsari district, hasTown, Gandevi]
-
A.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
B.
Vohra
Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
-
C.
Durdhara
Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
-
D.
Duvdevan
Duvdevan is an elite undercover special forces unit of the Israel Defense Forces known for conducting high-risk operations in urban and densely populated areas.
-
E.
Goghat
Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly 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: Gandevi Triple: [Navsari district, hasTown, Gandevi]
Generated description
Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gandevi Target entity description: Gandevi is a town in the Navsari district of Gujarat, India, known for its agricultural surroundings and regional trade activities.
-
A.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
B.
Vohra
Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
-
C.
Durdhara
Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
-
D.
Duvdevan
Duvdevan is an elite undercover special forces unit of the Israel Defense Forces known for conducting high-risk operations in urban and densely populated areas.
-
E.
Goghat
Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de65811d7c8190b075909a6570d415 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d16bae881909b38ccf04f1cf823 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd40443c188190b12a82db1049dd9f |
completed | May 8, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd42f275048190805e8f65db68c167 |
completed | May 8, 2026, 1:57 a.m. |
Created at: April 10, 2026, 1:10 a.m.