Triple
T17147068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cebu |
E416117
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 2
Pier 2 is one of the main docking and passenger cargo terminals within the Port of Cebu in the Philippines.
|
E1254634
|
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 2 | Statement: [Port of Cebu, hasPart, Pier 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 2 Context triple: [Port of Cebu, hasPart, Pier 2]
-
A.
Pier 2
Pier 2 is a waterfront recreational pier in Brooklyn Bridge Park known for its sports courts, roller rink, and panoramic views of New York Harbor.
-
B.
Pier 52
Pier 52 is a major ferry terminal on Seattle’s waterfront, serving as a key hub for Washington State Ferries across Puget Sound.
-
C.
Pier 27
Pier 27 is a waterfront facility in San Francisco that serves as a major cruise ship terminal and gateway for passengers visiting the city.
-
D.
Pier 3
Pier 3 is a historic waterfront pier along San Francisco’s Embarcadero, known for its maritime heritage and scenic views of the bay.
-
E.
Pier 3
Pier 3 is a recreational pier within Brooklyn Bridge Park in Brooklyn, New York, featuring open green space, waterfront views, and leisure amenities.
- 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 2 Triple: [Port of Cebu, hasPart, Pier 2]
Generated description
Pier 2 is one of the main docking and passenger cargo terminals within the Port of Cebu in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pier 2 Target entity description: Pier 2 is one of the main docking and passenger cargo terminals within the Port of Cebu in the Philippines.
-
A.
Pier 2
Pier 2 is a waterfront recreational pier in Brooklyn Bridge Park known for its sports courts, roller rink, and panoramic views of New York Harbor.
-
B.
Pier 52
Pier 52 is a major ferry terminal on Seattle’s waterfront, serving as a key hub for Washington State Ferries across Puget Sound.
-
C.
Pier 27
Pier 27 is a waterfront facility in San Francisco that serves as a major cruise ship terminal and gateway for passengers visiting the city.
-
D.
Pier 3
Pier 3 is a historic waterfront pier along San Francisco’s Embarcadero, known for its maritime heritage and scenic views of the bay.
-
E.
Pier 3
Pier 3 is a recreational pier within Brooklyn Bridge Park in Brooklyn, New York, featuring open green space, waterfront views, and leisure amenities.
- 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_6a01483158348190abb96b36caaf455a |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014aaaa3308190872d6db566a75511 |
completed | May 11, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014b092c948190bc8e9e8d3918bf84 |
completed | May 11, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:36 a.m.