Triple
T17147072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cebu |
E416117
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 6
Pier 6 is a major docking and cargo-handling pier within the Port of Cebu in the Philippines, serving both commercial shipping and passenger traffic.
|
E1259837
|
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 6 | Statement: [Port of Cebu, hasPart, Pier 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 6 Context triple: [Port of Cebu, hasPart, Pier 6]
-
A.
Pier 6
Pier 6 is a waterfront section of Brooklyn Bridge Park known for its recreational facilities, playgrounds, and views of New York Harbor.
-
B.
Pier 61
Pier 61 is a Hudson River waterfront pier in Manhattan best known today as part of the Chelsea Piers sports and entertainment complex.
-
C.
Pier 62
Pier 62 is a public waterfront pier and park space on Seattle’s Elliott Bay, known for its views, recreation areas, and community events.
-
D.
Pier 62
Pier 62 is a recreational pier along Manhattan’s west side waterfront that features park space, a carousel, and views of the Hudson River as part of the larger Hudson River Park.
-
E.
Pier 60
Pier 60 is a popular fishing pier and recreational hub on Clearwater Beach known for its sunset celebrations, playground, and Gulf of Mexico 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 6 Triple: [Port of Cebu, hasPart, Pier 6]
Generated description
Pier 6 is a major docking and cargo-handling pier within the Port of Cebu in the Philippines, serving both commercial shipping and passenger traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pier 6 Target entity description: Pier 6 is a major docking and cargo-handling pier within the Port of Cebu in the Philippines, serving both commercial shipping and passenger traffic.
-
A.
Pier 6
Pier 6 is a waterfront section of Brooklyn Bridge Park known for its recreational facilities, playgrounds, and views of New York Harbor.
-
B.
Pier 61
Pier 61 is a Hudson River waterfront pier in Manhattan best known today as part of the Chelsea Piers sports and entertainment complex.
-
C.
Pier 62
Pier 62 is a recreational pier along Manhattan’s west side waterfront that features park space, a carousel, and views of the Hudson River as part of the larger Hudson River Park.
-
D.
Pier 62
Pier 62 is a public waterfront pier and park space on Seattle’s Elliott Bay, known for its views, recreation areas, and community events.
-
E.
Pier 60
Pier 60 is a popular fishing pier and recreational hub on Clearwater Beach known for its sunset celebrations, playground, and Gulf of Mexico 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_6a017936f1bc8190ae675097fcbda90b |
completed | May 11, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_6a0179c9ba48819087532aecec8c0340 |
completed | May 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017ac2fe848190a3a585cd2fd1a05b |
completed | May 11, 2026, 6:44 a.m. |
Created at: April 10, 2026, 5:36 a.m.