Triple
T17147070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cebu |
E416117
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 4
Pier 4 is a major passenger and cargo terminal facility within the Port of Cebu in the Philippines.
|
E1258145
|
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 4 | Statement: [Port of Cebu, hasPart, Pier 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 4 Context triple: [Port of Cebu, hasPart, Pier 4]
-
A.
Pier 4
Pier 4 is a waterfront pier and recreational area within Brooklyn Bridge Park in Brooklyn, New York City.
-
B.
Pier 48
Pier 48 is a historic waterfront pier in San Francisco’s Mission Bay area, known for its industrial maritime architecture and redevelopment plans as part of the city’s evolving shoreline.
-
C.
Pier 40
Pier 40 is a large multi-use pier complex on Manhattan’s west side known for its athletic fields, parking facilities, and role as a key recreational hub within Hudson River Park.
-
D.
Pier 5
Pier 5 is a recreational pier in Brooklyn Bridge Park known for its sports fields, waterfront views, and public gathering spaces along the Brooklyn waterfront.
-
E.
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.
- 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 4 Triple: [Port of Cebu, hasPart, Pier 4]
Generated description
Pier 4 is a major passenger and cargo terminal facility within the Port of Cebu in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pier 4 Target entity description: Pier 4 is a major passenger and cargo terminal facility within the Port of Cebu in the Philippines.
-
A.
Pier 4
Pier 4 is a waterfront pier and recreational area within Brooklyn Bridge Park in Brooklyn, New York City.
-
B.
Pier 48
Pier 48 is a historic waterfront pier in San Francisco’s Mission Bay area, known for its industrial maritime architecture and redevelopment plans as part of the city’s evolving shoreline.
-
C.
Pier 40
Pier 40 is a large multi-use pier complex on Manhattan’s west side known for its athletic fields, parking facilities, and role as a key recreational hub within Hudson River Park.
-
D.
Pier 5
Pier 5 is a recreational pier in Brooklyn Bridge Park known for its sports fields, waterfront views, and public gathering spaces along the Brooklyn waterfront.
-
E.
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.
- 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_6a016743eb688190bdb5d85ed144ca1d |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016b4d4cb881908f196de0d74da327 |
completed | May 11, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016bdc66b081908c9b391503e7a814 |
completed | May 11, 2026, 5:40 a.m. |
Created at: April 10, 2026, 5:36 a.m.