Triple
T25941329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dargah of Ghazi Saiyyed Salar Masud |
E653706
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ghazi Miyan ki Dargah
Ghazi Miyan ki Dargah is a prominent Sufi shrine in Bahraich, Uttar Pradesh, revered as the burial place of the warrior-saint Ghazi Saiyyed Salar Masud and a major site of regional pilgrimage.
|
E1705588
|
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: Ghazi Miyan ki Dargah | Statement: [Dargah of Ghazi Saiyyed Salar Masud, alsoKnownAs, Ghazi Miyan ki Dargah]
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: Ghazi Miyan ki Dargah Triple: [Dargah of Ghazi Saiyyed Salar Masud, alsoKnownAs, Ghazi Miyan ki Dargah]
Generated description
Ghazi Miyan ki Dargah is a prominent Sufi shrine in Bahraich, Uttar Pradesh, revered as the burial place of the warrior-saint Ghazi Saiyyed Salar Masud and a major site of regional pilgrimage.
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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6045dedb4819087530b823c036d51 |
completed | May 2, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1107745e248190890a67b6627831a4 |
completed | May 23, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a11082bcf9c8190a80f0ed23b79a823 |
completed | May 23, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a110c2ac828819088a7a9feb579e6e6 |
completed | May 23, 2026, 2:08 a.m. |
Created at: April 22, 2026, 8:40 a.m.