Triple
T19814229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kameri |
E476019
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kamerawadi
Kamerawadi, also known as Kameri, is a village-level locality in India whose name is used interchangeably in regional references and records.
|
E1396809
|
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: Kamerawadi | Statement: [Kameri, alsoKnownAs, Kamerawadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamerawadi Context triple: [Kameri, alsoKnownAs, Kamerawadi]
-
A.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
-
B.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
C.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
D.
Balwa
Balwa is a municipality-level city located in Nepal's Madhesh Province.
-
E.
Badwani
Badwani is a prominent town in the Nimar region of Madhya Pradesh, India, serving as an important local administrative and commercial center.
- 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: Kamerawadi Triple: [Kameri, alsoKnownAs, Kamerawadi]
Generated description
Kamerawadi, also known as Kameri, is a village-level locality in India whose name is used interchangeably in regional references and records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamerawadi Target entity description: Kamerawadi, also known as Kameri, is a village-level locality in India whose name is used interchangeably in regional references and records.
-
A.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
-
B.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
C.
Kathiawari
Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
-
D.
Balwa
Balwa is a municipality-level city located in Nepal's Madhesh Province.
-
E.
Badwani
Badwani is a prominent town in the Nimar region of Madhya Pradesh, India, serving as an important local administrative and commercial center.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f6495c81908e7eea359a60e40f |
completed | April 20, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07cccc33fc8190958cc5d5cb2feb79 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce282658819096ff374b1605146f |
completed | May 16, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cf0327408190be73a41d2663836a |
completed | May 16, 2026, 1:57 a.m. |
Created at: April 10, 2026, 1:50 p.m.