Triple
T30851949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamou Region |
E785804
|
entity |
| Predicate | hasVehicleCodePrefix |
P68833
|
FINISHED |
| Object | RM |
—
|
NE NERFINISHED |
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: RM | Statement: [Mamou Region, hasVehicleCodePrefix, RM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVehicleCodePrefix Context triple: [Mamou Region, hasVehicleCodePrefix, RM]
-
A.
hasStationCodePrefix
Indicates that one entity’s station code begins with the prefix specified by the other entity.
-
B.
hasVehicleLicensePrefix
chosen
Indicates that one entity has, uses, or is associated with a specific vehicle license plate prefix represented by the other entity.
-
C.
hasSiteCodePrefix
Indicates that one entity’s site code begins with, or is prefixed by, the specified code string from another entity.
-
D.
hasAirportCodePrefix
Indicates that an airport’s code begins with a specified sequence of characters.
-
E.
hasCatalogNumberPrefix
Indicates that an item’s catalog number begins with a specified prefix.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6bbbef7a88190b0affdec1d41c1e0 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: April 29, 2026, 8:46 p.m.