Triple
T33643359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patel Nagar |
E861891
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object |
Central-West Delhi
Central-West Delhi is an administrative district of India’s National Capital Territory that encompasses a mix of residential, commercial, and institutional neighborhoods, including areas like Patel Nagar.
|
E2061252
|
NE FINISHED |
How this triple was built (2 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: Central-West Delhi | Statement: [Patel Nagar, locatedInRegion, Central-West Delhi]
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: Central-West Delhi Triple: [Patel Nagar, locatedInRegion, Central-West Delhi]
Generated description
Central-West Delhi is an administrative district of India’s National Capital Territory that encompasses a mix of residential, commercial, and institutional neighborhoods, including areas like Patel Nagar.
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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f9bc309081908ebfe72df56dcb22 |
completed | May 3, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36271a0ab48190aca386265d5486a7 |
completed | June 20, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_6a3628199fe48190b534fd8a439d5855 |
completed | June 20, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3628b9d16481908e159baeeedd8c0d |
completed | June 20, 2026, 5:44 a.m. |
Created at: May 1, 2026, 1:42 a.m.