Triple
T17147074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cebu |
E416117
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 8
Pier 8 is a major cargo and passenger docking facility within the Port of Cebu in the Philippines.
|
E1263437
|
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: Pier 8 | Statement: [Port of Cebu, hasPart, Pier 8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 8 Context triple: [Port of Cebu, hasPart, Pier 8]
-
A.
Pier 8
Pier 8 is a section of Brooklyn Bridge Park along the Brooklyn waterfront, featuring recreational public space and views of New York Harbor.
-
B.
Pier 84
Pier 84 is a popular recreational pier along Manhattan’s Hudson River waterfront, featuring green space, seating, and riverfront views within Hudson River Park.
-
C.
Pier 84
Pier 84 is a waterfront facility within the Port of Philadelphia used for maritime and cargo-related operations.
-
D.
Pier 86
Pier 86 is a Hudson River pier on Manhattan’s West Side best known as the home of New York City’s Intrepid Sea, Air & Space Museum.
-
E.
Pier 7
Pier 7 is a multi-story dining and entertainment tower in Dubai Marina known for its collection of upscale restaurants and panoramic waterfront views.
- 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: Pier 8 Triple: [Port of Cebu, hasPart, Pier 8]
Generated description
Pier 8 is a major cargo and passenger docking facility within the Port of Cebu in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pier 8 Target entity description: Pier 8 is a major cargo and passenger docking facility within the Port of Cebu in the Philippines.
-
A.
Pier 8
Pier 8 is a section of Brooklyn Bridge Park along the Brooklyn waterfront, featuring recreational public space and views of New York Harbor.
-
B.
Pier 84
Pier 84 is a popular recreational pier along Manhattan’s Hudson River waterfront, featuring green space, seating, and riverfront views within Hudson River Park.
-
C.
Pier 84
Pier 84 is a waterfront facility within the Port of Philadelphia used for maritime and cargo-related operations.
-
D.
Pier 86
Pier 86 is a Hudson River pier on Manhattan’s West Side best known as the home of New York City’s Intrepid Sea, Air & Space Museum.
-
E.
Pier 7
Pier 7 is a multi-story dining and entertainment tower in Dubai Marina known for its collection of upscale restaurants and panoramic waterfront views.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2db20d48190b5d69ccf89f3bc42 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c36b32c8190a365b7b80207978c |
completed | May 11, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_6a018d86c7808190b9de682e49d4295c |
completed | May 11, 2026, 8:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e57fa708190872ad2fb5f660507 |
completed | May 11, 2026, 8:07 a.m. |
Created at: April 10, 2026, 5:36 a.m.