Triple
T3347827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eumundi Markets |
E70416
|
entity |
| Predicate | approximateStallCount |
P43082
|
FINISHED |
| Object | over 250 stalls |
—
|
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: over 250 stalls | Statement: [Eumundi Markets, approximateStallCount, over 250 stalls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStallCount Context triple: [Eumundi Markets, approximateStallCount, over 250 stalls]
-
A.
numberOfStalls
chosen
Indicates the quantity of stalls associated with or contained within a given entity or location.
-
B.
passengersCountApproximate
Indicates that the number of passengers involved is given as an approximate or estimated count rather than an exact figure.
-
C.
approximateCapacity
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
-
D.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
E.
typicalStallType
Indicates the usual or most common type or category of stall associated with an entity.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21c64448190a29631ea8f029868 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.