Triple
T23253574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroua central market |
E581802
|
entity |
| Predicate | hasStallsFor |
P59386
|
FINISHED |
| Object | food products |
—
|
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: food products | Statement: [Maroua central market, hasStallsFor, food products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStallsFor Context triple: [Maroua central market, hasStallsFor, food products]
-
A.
hasStalls
chosen
Indicates that an entity contains, provides, or is equipped with stalls (e.g., booths, compartments, or vendor stands).
-
B.
hasTypeOfStalls
Indicates that an entity features or includes stalls of a particular type or category.
-
C.
hasOrchestraStalls
Indicates that a venue or performance space includes an orchestra stalls section, typically the main ground-level seating area closest to the stage.
-
D.
stallMarkedBy
Indicates that a stall or booth is identified or distinguished by a particular mark, label, or sign.
-
E.
hasStops
Indicates that a route, service, or journey includes one or more intermediate stopping points at specified locations.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f9d904819097315c9bf031f667 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.