Triple
T8079600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasay |
E188579
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Star City
Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
|
E710488
|
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: Star City | Statement: [Pasay, hasLandmark, Star City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star City Context triple: [Pasay, hasLandmark, Star City]
-
A.
Star City
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
-
B.
Star City
Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
-
C.
Gem City
Gem City is a popular nickname for Quincy, Illinois, reflecting its historic charm and regional significance along the Mississippi River.
-
D.
Gem City
Gem City is the well-known nickname for Dayton, Ohio, reflecting the city's historic prosperity and regional significance.
-
E.
Victory City
Victory City is a 2023 novel by Salman Rushdie that blends history and fantasy to chronicle the rise and fall of a mythical empire in 14th-century southern India.
- 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: Star City Triple: [Pasay, hasLandmark, Star City]
Generated description
Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Star City Target entity description: Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
-
A.
Star City
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
-
B.
Star City
Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
-
C.
Gem City
Gem City is a popular nickname for Quincy, Illinois, reflecting its historic charm and regional significance along the Mississippi River.
-
D.
Gem City
Gem City is the well-known nickname for Dayton, Ohio, reflecting the city's historic prosperity and regional significance.
-
E.
Victory City
Victory City is a 2023 novel by Salman Rushdie that blends history and fantasy to chronicle the rise and fall of a mythical empire in 14th-century southern India.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:28 p.m.