Triple

T26821643
Position Surface form Disambiguated ID Type / Status
Subject Koh Samet E675260 entity
Predicate hasMainPier P15921 FINISHED
Object Na Dan Pier
Na Dan Pier is the primary passenger ferry terminal serving arrivals and departures for visitors traveling to the island of Koh Samet in Thailand.
 E1742279 NE FINISHED

How this triple was built (3 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: Na Dan Pier | Statement: [Koh Samet, hasMainPier, Na Dan Pier]
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: Na Dan Pier
Triple: [Koh Samet, hasMainPier, Na Dan Pier]
Generated description
Na Dan Pier is the primary passenger ferry terminal serving arrivals and departures for visitors traveling to the island of Koh Samet in Thailand.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMainPier
Context triple: [Koh Samet, hasMainPier, Na Dan Pier]
  • A. hasPier chosen
    Indicates that a location or structure possesses or includes a pier as part of its features.
  • B. hasPiersOn
    Indicates that one structure or location is supported or extended by piers that are physically situated on another structure or surface.
  • C. hasNearbyPier
    Indicates that one entity is located close to a pier associated with or adjacent to another entity.
  • D. hasPierName
    Indicates that an entity (such as a berth, dock, or mooring location) is associated with a specific pier name.
  • E. hasPierUse
    Indicates that something is used as, or functions in the role of, a pier.
  • F. None of above.

Provenance (6 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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69fd6f9d600c8190acf495b7fc632e4b completed May 8, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12097c8e388190b55c3eb362851235 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a8eced08190a79d22c75b65404e completed May 23, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a120b0591e0819080d57a6f01e4128b completed May 23, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69fd6e98a2948190a9f78c415ad23b8c completed May 8, 2026, 5:03 a.m.
Created at: April 27, 2026, 4:55 a.m.