Triple
T3960017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Empress Hotel |
E85877
|
entity |
| Predicate | teaServiceLocation |
P5294
|
FINISHED |
| Object | lobby |
—
|
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: lobby | Statement: [The Empress Hotel, teaServiceLocation, lobby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teaServiceLocation Context triple: [The Empress Hotel, teaServiceLocation, lobby]
-
A.
serviceLocation
Indicates the place or address where a service is provided, performed, or made available to the relevant party.
-
B.
clubLocation
Indicates that a club is located at, based in, or associated with a particular place or venue.
-
C.
isServedAt
chosen
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
D.
hasCafes
Indicates that one entity possesses, contains, or includes one or more cafes within it.
-
E.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.