Triple
T11976587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dausa district |
E285055
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Lalsot
Lalsot is a town in the Dausa district of Rajasthan, India, known for its agricultural markets and regional trade activities.
|
E957928
|
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: Lalsot | Statement: [Dausa district, hasTown, Lalsot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalsot Context triple: [Dausa district, hasTown, Lalsot]
-
A.
Harar Jugol
Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
-
B.
Basohli
Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
-
C.
Bhittai
Bhittai is an honorific title associated with Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
-
D.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
-
E.
Ladwa
Ladwa is a town in the northern Indian state of Haryana, known as a local commercial and agricultural hub within the Kurukshetra 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: Lalsot Triple: [Dausa district, hasTown, Lalsot]
Generated description
Lalsot is a town in the Dausa district of Rajasthan, India, known for its agricultural markets and regional trade activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lalsot Target entity description: Lalsot is a town in the Dausa district of Rajasthan, India, known for its agricultural markets and regional trade activities.
-
A.
Harar Jugol
Harar Jugol is the historic walled city of Harar in eastern Ethiopia, renowned for its dense maze of alleyways, rich Islamic heritage, and distinctive traditional architecture.
-
B.
Basohli
Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
-
C.
Bhittai
Bhittai is an honorific title associated with Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
-
D.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
-
E.
Ladwa
Ladwa is a town in the northern Indian state of Haryana, known as a local commercial and agricultural hub within the Kurukshetra 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903926690819090e7ce982f103457 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471f6afc48190856a0f7c486b28aa |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.