Triple
T19509757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhogal Road |
E488115
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Bhogal
Bhogal is a bustling residential and commercial neighborhood in South Delhi, India, known for its markets, eateries, and proximity to key city landmarks.
|
E1380207
|
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: Bhogal | Statement: [Bhogal Road, locatedIn, Bhogal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhogal Context triple: [Bhogal Road, locatedIn, Bhogal]
-
A.
Bhokar
Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
-
B.
Ghagga
Ghagga is a small town in the Patiala district of Punjab, India, known for its agrarian surroundings and local market activities.
-
C.
Baragadhi
Baragadhi is a local administrative area and settlement located within Madhesh Province in southeastern Nepal.
-
D.
Ghangaria
Ghangaria is a small Himalayan village in Uttarakhand, India, that serves as the base camp for pilgrims to Hemkunt Sahib and trekkers to the Valley of Flowers.
-
E.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
- 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: Bhogal Triple: [Bhogal Road, locatedIn, Bhogal]
Generated description
Bhogal is a bustling residential and commercial neighborhood in South Delhi, India, known for its markets, eateries, and proximity to key city landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhogal Target entity description: Bhogal is a bustling residential and commercial neighborhood in South Delhi, India, known for its markets, eateries, and proximity to key city landmarks.
-
A.
Bhokar
Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
-
B.
Ghagga
Ghagga is a small town in the Patiala district of Punjab, India, known for its agrarian surroundings and local market activities.
-
C.
Baragadhi
Baragadhi is a local administrative area and settlement located within Madhesh Province in southeastern Nepal.
-
D.
Ghangaria
Ghangaria is a small Himalayan village in Uttarakhand, India, that serves as the base camp for pilgrims to Hemkunt Sahib and trekkers to the Valley of Flowers.
-
E.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351547e481909a875bba40651094 |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0747216ce4819084a42dd1d8b095d5 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747f6b1d48190a3e70576ddb4feb2 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07492259488190a8c405598f9c8878 |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.