Triple
T8522230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhelum District |
E201719
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Dina
Dina is a town in Pakistan’s Punjab province, located within the Jhelum District and known as a local commercial and transport hub.
|
E738017
|
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: Dina | Statement: [Jhelum District, hasSettlement, Dina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dina Context triple: [Jhelum District, hasSettlement, Dina]
-
A.
Dina
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
B.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
C.
Mena
Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
-
D.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
E.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
- 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: Dina Triple: [Jhelum District, hasSettlement, Dina]
Generated description
Dina is a town in Pakistan’s Punjab province, located within the Jhelum District and known as a local commercial and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dina Target entity description: Dina is a town in Pakistan’s Punjab province, located within the Jhelum District and known as a local commercial and transport hub.
-
A.
Dina
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
B.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
C.
Mena
Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
-
D.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
E.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64215408190b45f462a32d3471d |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e8399f481909992aedf0d918cbc |
completed | April 2, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ce4ffcf7488190b94cae18be14e8ff |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce507766448190830dd3efc8a79a74 |
completed | April 2, 2026, 11:18 a.m. |
Created at: March 30, 2026, 6:16 p.m.