Triple
T24217906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austurvöllur |
E601356
|
entity |
| Predicate | hasStreetAddressArea |
P74850
|
FINISHED |
| Object | 101 Reykjavík |
—
|
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: 101 Reykjavík | Statement: [Austurvöllur, hasStreetAddressArea, 101 Reykjavík]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetAddressArea Context triple: [Austurvöllur, hasStreetAddressArea, 101 Reykjavík]
-
A.
addressArea
chosen
Indicates the geographic area or region that an address is located in or associated with.
-
B.
streetOrArea
Indicates that one entity is a street or area associated with, located at, or relevant to the other entity.
-
C.
hasAreaNumber
Indicates that an entity is associated with a specific area identified by a numerical code.
-
D.
streetOrAreaType
Indicates the specific kind or classification of a street or area (such as avenue, boulevard, district, or zone) associated with an entity.
-
E.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f2820a80ec8190bd11f08f7733843d |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:58 p.m.