Triple
T7489753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris is well worth a Mass |
E176974
|
entity |
| Predicate | commonlyCitedIn |
P60904
|
FINISHED |
| Object | biographies of Henry IV of France |
—
|
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: biographies of Henry IV of France | Statement: [Paris is well worth a Mass, commonlyCitedIn, biographies of Henry IV of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyCitedIn Context triple: [Paris is well worth a Mass, commonlyCitedIn, biographies of Henry IV of France]
-
A.
oftenCitedAs
chosen
Indicates that one entity is frequently referenced or mentioned as an example, source, or authority in relation to another entity.
-
B.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
C.
isCitedFor
Indicates that one entity references another as a source of information, evidence, or authority for a specific claim, idea, or contribution.
-
D.
citationBy
Indicates that one work is cited or referenced by another work.
-
E.
citations
Indicates that one entity references another as a source of information, evidence, or authority, typically in a scholarly or informational context.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55abcd481909e42ca857fe46cd1 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:43 p.m.