Triple
T7960821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinnah Avenue |
E184859
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Blue Area
Blue Area is Islamabad’s main commercial and business district, known for its high-rise offices, shops, and central location along the city’s primary thoroughfares.
|
E704691
|
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: Blue Area | Statement: [Jinnah Avenue, partOf, Blue Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Area Context triple: [Jinnah Avenue, partOf, Blue Area]
-
A.
Blue Territory
Blue Territory is an abstract color field painting by American artist Helen Frankenthaler, exemplifying her innovative soak-stain technique and lyrical use of color.
-
B.
Blue
Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
-
C.
Blue
Blue is the entry-level tier in Uber's driver rewards program, offering basic benefits and recognition for new or less frequent drivers.
-
D.
Blue
Blue is the costumed blue owl that serves as the official mascot of Wellesley College.
-
E.
Blue
"Blue" is the breakthrough debut single and album by American country singer LeAnn Rimes, noted for showcasing her powerful, Patsy Cline–style vocals and launching her to fame in the mid-1990s.
- 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: Blue Area Triple: [Jinnah Avenue, partOf, Blue Area]
Generated description
Blue Area is Islamabad’s main commercial and business district, known for its high-rise offices, shops, and central location along the city’s primary thoroughfares.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Area Target entity description: Blue Area is Islamabad’s main commercial and business district, known for its high-rise offices, shops, and central location along the city’s primary thoroughfares.
-
A.
Blue Territory
Blue Territory is an abstract color field painting by American artist Helen Frankenthaler, exemplifying her innovative soak-stain technique and lyrical use of color.
-
B.
Blue
Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
-
C.
Blue
Blue is the entry-level tier in Uber's driver rewards program, offering basic benefits and recognition for new or less frequent drivers.
-
D.
Blue
Blue is the costumed blue owl that serves as the official mascot of Wellesley College.
-
E.
Blue
"Blue" is the breakthrough debut single and album by American country singer LeAnn Rimes, noted for showcasing her powerful, Patsy Cline–style vocals and launching her to fame in the mid-1990s.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe084d9348190b4102fbdfedca297 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cc46c11e68819087f5083bb85ec7ab |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc47fa1524819089ef5b3f8bf7f670 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:12 p.m.