Triple

T10671570
Position Surface form Disambiguated ID Type / Status
Subject Port of Manila E251500 entity
Predicate hasPart P35 FINISHED
Object North Harbor
North Harbor is a major section of Manila’s port complex that handles a large share of the Philippines’ domestic shipping and cargo traffic.
 E879697 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: North Harbor | Statement: [Port of Manila, hasPart, North Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: North Harbor
Context triple: [Port of Manila, hasPart, North Harbor]
  • A. North Harbor
    North Harbor is a major harbor area within the Port of Tianjin, serving as one of its key zones for maritime trade and logistics operations.
  • B. New Harbor
    New Harbor is the English meaning of "Nyhavn," the historic waterfront and entertainment district in central Copenhagen, Denmark.
  • C. Plaistow
    Plaistow is a residential district in East London known for its diverse community and proximity to central London.
  • D. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • E. Beverly Harbor
    Beverly Harbor is a coastal harbor in northeastern Massachusetts that serves as a key maritime and recreational area for the city of Beverly on the Atlantic Ocean.
  • 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: North Harbor
Triple: [Port of Manila, hasPart, North Harbor]
Generated description
North Harbor is a major section of Manila’s port complex that handles a large share of the Philippines’ domestic shipping and cargo traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: North Harbor
Target entity description: North Harbor is a major section of Manila’s port complex that handles a large share of the Philippines’ domestic shipping and cargo traffic.
  • A. North Harbor
    North Harbor is a major harbor area within the Port of Tianjin, serving as one of its key zones for maritime trade and logistics operations.
  • B. New Harbor
    New Harbor is the English meaning of "Nyhavn," the historic waterfront and entertainment district in central Copenhagen, Denmark.
  • C. Plaistow
    Plaistow is a residential district in East London known for its diverse community and proximity to central London.
  • D. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • E. Beverly Harbor
    Beverly Harbor is a coastal harbor in northeastern Massachusetts that serves as a key maritime and recreational area for the city of Beverly on the Atlantic Ocean.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8648a248190a3bd284c569152e4 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9886e3f108190bb6f17d4e2f394ef completed April 10, 2026, 11:31 p.m.
NEDg Description generation batch_69d98cdf6f0c8190a5b926c439c1aca6 completed April 10, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69d98d5557548190a22102f1c8105e6f completed April 10, 2026, 11:52 p.m.
Created at: April 8, 2026, 9:09 p.m.