Triple
T4624396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia skyline |
E101059
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
The Murano
The Murano is a modern high-rise residential condominium tower in Philadelphia known for its sleek glass facade and upscale urban living.
|
E456333
|
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: The Murano | Statement: [Philadelphia skyline, hasPart, The Murano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Murano Context triple: [Philadelphia skyline, hasPart, The Murano]
-
A.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
B.
Perledo
Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
-
C.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
D.
Lanterna di Genova
Lanterna di Genova is the historic lighthouse and symbol of the Italian port city of Genoa, recognized as one of the oldest and tallest lighthouses still in operation.
-
E.
Chandelier
"Chandelier" is a 2014 pop power ballad by Sia, known for its soaring vocals and themes of addiction and emotional turmoil.
- 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: The Murano Triple: [Philadelphia skyline, hasPart, The Murano]
Generated description
The Murano is a modern high-rise residential condominium tower in Philadelphia known for its sleek glass facade and upscale urban living.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Murano Target entity description: The Murano is a modern high-rise residential condominium tower in Philadelphia known for its sleek glass facade and upscale urban living.
-
A.
Murano
Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
-
B.
Perledo
Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
-
C.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
D.
Lanterna di Genova
Lanterna di Genova is the historic lighthouse and symbol of the Italian port city of Genoa, recognized as one of the oldest and tallest lighthouses still in operation.
-
E.
Chandelier
"Chandelier" is a 2014 pop power ballad by Sia, known for its soaring vocals and themes of addiction and emotional turmoil.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a06d6248190a613be9784dd1ef4 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaa564988190b565c26b9cd3d3be |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb6fa3fc8190b79b641025710eb1 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.