Triple
T12222935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bata Airport |
E291265
|
entity |
| Predicate | operatesDaytime |
P103870
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bata Airport, operatesDaytime, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesDaytime Context triple: [Bata Airport, operatesDaytime, true]
-
A.
operatesAllTimes
Indicates that the action, service, or process is continuously in operation at all times without interruption.
-
B.
daysOfOperation
Indicates the specific days on which an entity (such as a service, facility, or operation) is active or functioning.
-
C.
has24HourOperations
Indicates that an entity operates continuously for 24 hours a day without closing.
-
D.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
-
E.
operatedDuring
Indicates that an action, process, or system was functioning or in operation throughout a specified time period or event.
- F. None of above. chosen
Provenance (4 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_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.