Triple
T21347015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue du Bac, Paris |
E526364
|
entity |
| Predicate | hasNumberingRange |
P36590
|
FINISHED |
| Object | 1–154 (approximate house numbers) |
—
|
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: 1–154 (approximate house numbers) | Statement: [Rue du Bac, Paris, hasNumberingRange, 1–154 (approximate house numbers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberingRange Context triple: [Rue du Bac, Paris, hasNumberingRange, 1–154 (approximate house numbers)]
-
A.
includesNumberingRange
chosen
Indicates that one entity contains or covers a specified contiguous range of numbers associated with another entity.
-
B.
hasNumberingWithin
Indicates that one entity assigns or follows a specific numbering scheme within the scope or structure of another entity.
-
C.
hasNumberingRole
Indicates that an entity holds a specific role or responsibility related to assigning, managing, or using numbers within a given context.
-
D.
hasNumberingStart
Indicates that an ordered sequence or list begins at a specified starting number or position.
-
E.
hasCategoryNumbering
Indicates that an entity is assigned or associated with a specific category-based numbering or index within a classification system.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba8f1c8819089c5d753876b44d5 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:56 p.m.