Triple
T21202610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheikhupura District |
E522493
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Muridke
Muridke is a town in Pakistan’s Punjab province, situated near Lahore and known as a growing commercial and residential center in the Sheikhupura District.
|
E1472489
|
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: Muridke | Statement: [Sheikhupura District, hasTown, Muridke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muridke Context triple: [Sheikhupura District, hasTown, Muridke]
-
A.
Studienka
Studienka is a village and municipality in western Slovakia, situated in the Malacky District of the Bratislava Region.
-
B.
Leermens
Leermens is a small village in the province of Groningen in the northern Netherlands.
-
C.
Reedus
Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
-
D.
A estudante
A estudante is a significant modernist painting by Brazilian artist Anita Malfatti, exemplifying her bold, expressionist style that helped spark Brazil’s early 20th-century modern art movement.
-
E.
Budak
Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
- 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: Muridke Triple: [Sheikhupura District, hasTown, Muridke]
Generated description
Muridke is a town in Pakistan’s Punjab province, situated near Lahore and known as a growing commercial and residential center in the Sheikhupura District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muridke Target entity description: Muridke is a town in Pakistan’s Punjab province, situated near Lahore and known as a growing commercial and residential center in the Sheikhupura District.
-
A.
Studienka
Studienka is a village and municipality in western Slovakia, situated in the Malacky District of the Bratislava Region.
-
B.
Leermens
Leermens is a small village in the province of Groningen in the northern Netherlands.
-
C.
Reedus
Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
-
D.
A estudante
A estudante is a significant modernist painting by Brazilian artist Anita Malfatti, exemplifying her bold, expressionist style that helped spark Brazil’s early 20th-century modern art movement.
-
E.
Budak
Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73432a2b88190a89e636626d40c9b |
completed | April 21, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ecf17908190ae8c2b02002811f9 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097ff28ed0819081cea66e9ea5eaa2 |
completed | May 17, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0981477234819093bc90f3578ddccf |
completed | May 17, 2026, 8:50 a.m. |
Created at: April 16, 2026, 3:19 p.m.