Triple
T8573153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikaner district |
E202976
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Deshnoke
Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
|
E742519
|
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: Deshnoke | Statement: [Bikaner district, containsTown, Deshnoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deshnoke Context triple: [Bikaner district, containsTown, Deshnoke]
-
A.
Dahegam
Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
-
B.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
C.
Denjaka
Denjaka is an elite Indonesian naval special forces unit specializing in maritime counter-terrorism, sabotage, and underwater operations.
-
D.
Gouderak
Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
-
E.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
- 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: Deshnoke Triple: [Bikaner district, containsTown, Deshnoke]
Generated description
Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deshnoke Target entity description: Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
-
A.
Dahegam
Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
-
B.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
C.
Denjaka
Denjaka is an elite Indonesian naval special forces unit specializing in maritime counter-terrorism, sabotage, and underwater operations.
-
D.
Gouderak
Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel river.
-
E.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea458c1081908e79bee2cbf97207 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce898cf8648190b52758b6ecf2959b |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8a9df47c81909ba9ef8dff1db7b1 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8b48841c8190bcf11aeb25355649 |
completed | April 2, 2026, 3:29 p.m. |
Created at: March 30, 2026, 6:21 p.m.