Triple
T14494079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel-Dieu de Tonnerre |
E359442
|
entity |
| Predicate | hasFunctionHistory |
P2715
|
FINISHED |
| Object | hospital until the 20th century |
—
|
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: hospital until the 20th century | Statement: [Hôtel-Dieu de Tonnerre, hasFunctionHistory, hospital until the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionHistory Context triple: [Hôtel-Dieu de Tonnerre, hasFunctionHistory, hospital until the 20th century]
-
A.
hasScriptHistory
Indicates that an entity is associated with a record or chronology of scripts or writing systems it has used or been represented in over time.
-
B.
historicalFunction
chosen
Indicates the role, purpose, or activity an entity had during a past period or in a historical context.
-
C.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
D.
hasResourceHistory
Indicates that an entity is associated with a record or sequence of past states, usages, or changes of a particular resource over time.
-
E.
hasFlagHistory
Indicates that there exists a historical record or sequence of changes related to an entity’s flag.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930f34d08190b4b30e54e2f702ed |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.