Triple
T19279257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North West Delhi district |
E482142
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bawana
Bawana is a suburban and industrial locality in the northern part of Delhi, India, known for its large industrial area and resettlement colonies.
|
E1367703
|
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: Bawana | Statement: [North West Delhi district, hasSettlement, Bawana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bawana Context triple: [North West Delhi district, hasSettlement, Bawana]
-
A.
Bulebel
Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
-
B.
Bwiro
Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
-
C.
Kinyara
Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
-
D.
Jinka
Jinka is a small market town in southwestern Ethiopia known as a gateway to the Omo Valley and its diverse indigenous cultures.
-
E.
Manyoni
Manyoni is a town and district headquarters in central Tanzania known for its location along major road and rail routes in the Singida 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: Bawana Triple: [North West Delhi district, hasSettlement, Bawana]
Generated description
Bawana is a suburban and industrial locality in the northern part of Delhi, India, known for its large industrial area and resettlement colonies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bawana Target entity description: Bawana is a suburban and industrial locality in the northern part of Delhi, India, known for its large industrial area and resettlement colonies.
-
A.
Bulebel
Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
-
B.
Bwiro
Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
-
C.
Kinyara
Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
-
D.
Jinka
Jinka is a small market town in southwestern Ethiopia known as a gateway to the Omo Valley and its diverse indigenous cultures.
-
E.
Manyoni
Manyoni is a town and district headquarters in central Tanzania known for its location along major road and rail routes in the Singida 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbf817c819098745ed365cda4a9 |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e7929a081908362870dcfaeec4c |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070ef513888190b8c9f8c2de36f234 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fe766d081909453b1f8563817e8 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:30 p.m.