Triple
T27353290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak Tower |
E685618
|
entity |
| Predicate | hasTicketedArea |
P174346
|
FINISHED |
| Object |
Sky Terrace 428 observation deck
Sky Terrace 428 observation deck is a popular open-air viewing platform on Hong Kong’s Victoria Peak offering panoramic views of the city skyline and harbor.
|
E1769023
|
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: Sky Terrace 428 observation deck | Statement: [Peak Tower, hasTicketedArea, Sky Terrace 428 observation deck]
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: Sky Terrace 428 observation deck Triple: [Peak Tower, hasTicketedArea, Sky Terrace 428 observation deck]
Generated description
Sky Terrace 428 observation deck is a popular open-air viewing platform on Hong Kong’s Victoria Peak offering panoramic views of the city skyline and harbor.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTicketedArea Context triple: [Peak Tower, hasTicketedArea, Sky Terrace 428 observation deck]
-
A.
hasTicketCollectorArea
Indicates that a location or facility includes a designated area where ticket collectors operate or perform their duties.
-
B.
hasTicket
Indicates that an entity possesses or holds a ticket, typically granting access, entry, or a right to a service or event.
-
C.
hasTicketAccess
Indicates that an entity is permitted to view, use, or manage a particular ticket or set of tickets.
-
D.
hasTicketRequirement
Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
-
E.
hasTicketHall
Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12a7d4786c8190881df8e944b7f868 |
completed | May 24, 2026, 7:25 a.m. |
| NEDg | Description generation | batch_6a12a8b8ec608190846c55dabeec801a |
completed | May 24, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12a951f04881909419d5b9d41d5c79 |
completed | May 24, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 27, 2026, 11:49 a.m.