Triple
T8222641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bateau-Lavoir |
E192099
|
entity |
| Predicate | conditionInEarly20thCentury |
P17759
|
FINISHED |
| Object | dilapidated |
—
|
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: dilapidated | Statement: [Bateau-Lavoir, conditionInEarly20thCentury, dilapidated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionInEarly20thCentury Context triple: [Bateau-Lavoir, conditionInEarly20thCentury, dilapidated]
-
A.
usedInEarly20thCentury
Indicates that something was in use or commonly employed during the early 20th century.
-
B.
functionDuring20thCentury
Indicates that the function, role, or operation of one entity with respect to another occurred at some time during the 20th century.
-
C.
statusIn20thCentury
chosen
Indicates that an entity held a particular status, condition, or classification specifically during the 20th century.
-
D.
statusBefore1990s
Indicates the condition or state that an entity had prior to the 1990s.
-
E.
builtIn19thCentury
Indicates that something was constructed during the 19th century.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cae2948190ae4507b75b5d5784 |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.