Triple
T16061696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chishti Order |
E389628
|
entity |
| Predicate | IndianCenter |
P121482
|
FINISHED |
| Object |
Kalyar
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
|
E1194158
|
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: Kalyar | Statement: [Chishti Order, IndianCenter, Kalyar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalyar Context triple: [Chishti Order, IndianCenter, Kalyar]
-
A.
Kalaru
Kalaru is a small rural town in New South Wales, Australia, located near the coastal city of Bega in the Bega Valley region.
-
B.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
C.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
D.
Kundla
Kundla is a surname most notably associated with John Kundla, the Hall of Fame head coach who led the Minneapolis Lakers to multiple early NBA championships.
-
E.
Arykanda
Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
- 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: Kalyar Triple: [Chishti Order, IndianCenter, Kalyar]
Generated description
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalyar Target entity description: Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
-
A.
Kalaru
Kalaru is a small rural town in New South Wales, Australia, located near the coastal city of Bega in the Bega Valley region.
-
B.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
C.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
D.
Kundla
Kundla is a surname most notably associated with John Kundla, the Hall of Fame head coach who led the Minneapolis Lakers to multiple early NBA championships.
-
E.
Arykanda
Arykanda is an ancient Lycian city in southwestern Turkey, known for its well-preserved ruins including a theater, baths, and terraced structures overlooking a mountain valley.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e21a00f6808190a60939ef7ce727a7 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8cca308190875432a5cf5f8616 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec6ce4e881908b530a981375cc55 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 4:57 a.m.