Triple
T31047200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapua |
E791160
|
entity |
| Predicate | cartridgeFactoryCurrentUse |
P171610
|
FINISHED |
| Object | cultural centre |
—
|
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: cultural centre | Statement: [Lapua, cartridgeFactoryCurrentUse, cultural centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cartridgeFactoryCurrentUse Context triple: [Lapua, cartridgeFactoryCurrentUse, cultural centre]
-
A.
cartridgeFactoryEstablished
Indicates that a cartridge manufacturing facility has been founded or brought into official existence.
-
B.
cartridge
Indicates that one entity is a cartridge associated with, contained in, or used by another entity.
-
C.
requiresCartridgeSlotOf
Indicates that one entity needs to use or be connected to the cartridge slot provided by another entity in order to function or be compatible.
-
D.
hasCartridgeSlot
Indicates that an object includes a dedicated slot or receptacle designed to accept and hold a cartridge.
-
E.
capacityComparedToCartridge
Indicates how the capacity of one item compares to that of a reference cartridge.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 8:59 p.m.