Triple

T25102691
Position Surface form Disambiguated ID Type / Status
Subject Asok Station E628773 entity
Predicate nearHotelArea P61766 FINISHED
Object Sukhumvit hotel district
The Sukhumvit hotel district is a bustling area in central Bangkok known for its dense concentration of hotels, shopping, dining, and nightlife options along Sukhumvit Road.
 E1663280 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: Sukhumvit hotel district | Statement: [Asok Station, nearHotelArea, Sukhumvit hotel district]
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: Sukhumvit hotel district
Triple: [Asok Station, nearHotelArea, Sukhumvit hotel district]
Generated description
The Sukhumvit hotel district is a bustling area in central Bangkok known for its dense concentration of hotels, shopping, dining, and nightlife options along Sukhumvit Road.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearHotelArea
Context triple: [Asok Station, nearHotelArea, Sukhumvit hotel district]
  • A. nearbyResortArea
    Indicates that a resort area is located close to or within a short distance of a specified place or entity.
  • B. hasNearbyCityArea
    Indicates that one area is geographically close to or adjacent to a city area.
  • C. locatedNearPass
    Indicates that one entity is situated close to a mountain pass or similar passageway.
  • D. hasNearbyHotel chosen
    Indicates that one entity is located close to or within a short distance of a hotel.
  • E. hasNearbyLodge
    Indicates that one entity is located close to or in the vicinity of a lodge associated with another entity.
  • 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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464be45448190b42c7d880d8550c8 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048f02a308190adf7e34caf827666 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a6df4208190b8fa9647b516b7fc completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c2d8308819097b21b979944585e completed May 22, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69f442c861188190967655c6d8012380 completed May 1, 2026, 6:06 a.m.
Created at: April 18, 2026, 6:26 a.m.