Triple
T19272343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamia Masjid Srinagar |
E481959
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Nowhatta
Nowhatta is a historic neighborhood in Srinagar, Jammu and Kashmir, known for its old-city character, traditional markets, and religious and cultural significance.
|
E1367568
|
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: Nowhatta | Statement: [Jamia Masjid Srinagar, locatedIn, Nowhatta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nowhatta Context triple: [Jamia Masjid Srinagar, locatedIn, Nowhatta]
-
A.
El Waily
El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
-
B.
Koho
Koho is an Austroasiatic language spoken by the Koho ethnic group in Vietnam’s Central Highlands.
-
C.
Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
-
D.
Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
-
E.
Wantirna
Wantirna is a suburban area in Melbourne, Victoria, Australia, known for its residential character and green spaces.
- 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: Nowhatta Triple: [Jamia Masjid Srinagar, locatedIn, Nowhatta]
Generated description
Nowhatta is a historic neighborhood in Srinagar, Jammu and Kashmir, known for its old-city character, traditional markets, and religious and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nowhatta Target entity description: Nowhatta is a historic neighborhood in Srinagar, Jammu and Kashmir, known for its old-city character, traditional markets, and religious and cultural significance.
-
A.
El Waily
El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
-
B.
Koho
Koho is an Austroasiatic language spoken by the Koho ethnic group in Vietnam’s Central Highlands.
-
C.
Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
-
D.
Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
-
E.
Wantirna
Wantirna is a suburban area in Melbourne, Victoria, Australia, known for its residential character and green spaces.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb9bd5881909d86c5def7770fdd |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e729f708190be1d348ff9ef3148 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f1618d88190ad62c1c3896dba6e |
completed | May 15, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fe766d081909453b1f8563817e8 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:29 p.m.