Triple
T4015247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnal district |
E90740
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
|
E408083
|
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: Gharaunda | Statement: [Karnal district, hasTown, Gharaunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gharaunda Context triple: [Karnal district, hasTown, Gharaunda]
-
A.
Kauthara
Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
-
B.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
C.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
D.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
E.
Ghapan
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
- 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: Gharaunda Triple: [Karnal district, hasTown, Gharaunda]
Generated description
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gharaunda Target entity description: Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
A.
Kauthara
Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
-
B.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
C.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
D.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
E.
Ghapan
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556295aa081908e803233b986fec9 |
completed | March 14, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69b556dd4c4c819082c08f0278f174a3 |
completed | March 14, 2026, 12:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557e929088190878c9af98207f64a |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:35 p.m.