Triple

T38376220
Position Surface form Disambiguated ID Type / Status
Subject Landmark 81 E893628 entity
Predicate hasObservationDeckBrand P190813 FINISHED
Object Landmark 81 SkyView
Landmark 81 SkyView is the high-rise observation deck and tourist attraction located near the top of Vietnam’s Landmark 81 skyscraper, offering panoramic views of Ho Chi Minh City.
 E2268070 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: Landmark 81 SkyView | Statement: [Landmark 81, hasObservationDeckBrand, Landmark 81 SkyView]
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: Landmark 81 SkyView
Triple: [Landmark 81, hasObservationDeckBrand, Landmark 81 SkyView]
Generated description
Landmark 81 SkyView is the high-rise observation deck and tourist attraction located near the top of Vietnam’s Landmark 81 skyscraper, offering panoramic views of Ho Chi Minh City.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasObservationDeckBrand
Context triple: [Landmark 81, hasObservationDeckBrand, Landmark 81 SkyView]
  • A. hasObservationDeckName
    Indicates that an observation deck is associated with a specific name or title.
  • B. hasObservationDeckStatus
    Indicates whether something possesses an observation deck and, if so, what its current status or condition is.
  • C. hasObservationDeckAccess
    Indicates that an entity is permitted to enter or use an observation deck.
  • D. numberOfObservationDecks
    Indicates the count of observation decks associated with or present in an entity.
  • E. towerObservationDeck
    Indicates that an observation deck is located on or is part of a tower.
  • F. None of above. chosen

Provenance (7 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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2a3860c8190ab45dccdae79aa03 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b41e4fb48190ab0e098edc14965b completed June 28, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_6a41b4ab67288190bf774036d4fe05e2 completed June 28, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
PDg Predicate description generation batch_69fcd148e6d4819082c118832ecc599b completed May 7, 2026, 5:52 p.m.
Created at: May 3, 2026, 4:31 p.m.