Triple
T17147073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cebu |
E416117
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 7
Pier 7 is a major cargo and passenger docking facility within the Port of Cebu in the Philippines.
|
E1261508
|
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 7 | Statement: [Port of Cebu, hasPart, Pier 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 7 Context triple: [Port of Cebu, hasPart, Pier 7]
-
A.
Pier 7
Pier 7 is a scenic wooden pier on San Francisco’s Embarcadero waterfront, known for its skyline views, fishing spots, and iconic perspective toward the Financial District.
-
B.
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.
-
C.
Pier 7
Pier 7 is one of the waterfront recreational piers within Brooklyn Bridge Park in Brooklyn, New York, offering public access and views along the East River.
-
D.
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.
-
E.
Pier 57
Pier 57 is a historic waterfront pier and entertainment complex on Seattle’s Elliott Bay, featuring restaurants, shops, and attractions along the city’s central waterfront.
- 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 7 Triple: [Port of Cebu, hasPart, Pier 7]
Generated description
Pier 7 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 7 Target entity description: Pier 7 is a major cargo and passenger docking facility within the Port of Cebu in the Philippines.
-
A.
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.
-
B.
Pier 7
Pier 7 is a scenic wooden pier on San Francisco’s Embarcadero waterfront, known for its skyline views, fishing spots, and iconic perspective toward the Financial District.
-
C.
Pier 7
Pier 7 is one of the waterfront recreational piers within Brooklyn Bridge Park in Brooklyn, New York, offering public access and views along the East River.
-
D.
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.
-
E.
Pier 57
Pier 57 is a historic waterfront pier and entertainment complex on Seattle’s Elliott Bay, featuring restaurants, shops, and attractions along the city’s central waterfront.
- 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_6a0180c5e2dc81909f843a07bbf7e41c |
completed | May 11, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a01823e29908190b4c5c2ecaf61151b |
completed | May 11, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01829fb010819091199a639cde98d6 |
completed | May 11, 2026, 7:17 a.m. |
Created at: April 10, 2026, 5:36 a.m.