Triple
T12229614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lan Kwai Fong |
E291439
|
entity |
| Predicate | developedAsNightlifeAreaFrom |
P8175
|
FINISHED |
| Object | 1980s |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1980s | Statement: [Lan Kwai Fong, developedAsNightlifeAreaFrom, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedAsNightlifeAreaFrom Context triple: [Lan Kwai Fong, developedAsNightlifeAreaFrom, 1980s]
-
A.
hasNightlifeArea
chosen
Indicates that a place contains or is associated with an area characterized by nightlife activities such as bars, clubs, or evening entertainment venues.
-
B.
developedVenue
Indicates that an entity was responsible for creating, constructing, or significantly establishing a particular venue.
-
C.
developedVenueFor
Indicates that one entity created, designed, or established a venue specifically for another entity’s use or purpose.
-
D.
developedAlong
Indicates that something was created, constructed, or evolved following the course, path, or boundary of something else.
-
E.
wasIndustrialAreaUntil
Indicates that a location functioned as an industrial area up to a specified point in time, after which it no longer held that status.
- F. None of above.
Provenance (3 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.