Triple
T23065159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grain Lane |
E575016
|
entity |
| Predicate | hasHouseNumberWithMozartBirthplace |
P40967
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Grain Lane, hasHouseNumberWithMozartBirthplace, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHouseNumberWithMozartBirthplace Context triple: [Grain Lane, hasHouseNumberWithMozartBirthplace, 9]
-
A.
houseByBirth
Indicates that an entity belongs to or is associated with a particular house or lineage by virtue of birth.
-
B.
houseNumber
chosen
Indicates that an entity has a specific house or street number as part of its address.
-
C.
hasFamousResidence
Indicates that an entity is associated with a residence that is widely recognized or notable.
-
D.
hasHouseNumberForOECD
Indicates that an entity is assigned a specific house number according to an OECD-related addressing or data standard.
-
E.
hasFictionalHouseNumberRange
Indicates that an entity is associated with a range of house numbers that are fictional or not used in real-world addressing.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a2eb5c81908a90e22ff2a56430 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.