Triple
T31957537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Hauts de Smith (red) |
E815947
|
entity |
| Predicate | secondLabelOf |
P196909
|
FINISHED |
| Object | Château Smith Haut Lafitte |
—
|
NE NERFINISHED |
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: Château Smith Haut Lafitte | Statement: [Les Hauts de Smith (red), secondLabelOf, Château Smith Haut Lafitte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLabelOf Context triple: [Les Hauts de Smith (red), secondLabelOf, Château Smith Haut Lafitte]
-
A.
secondLevelName
Indicates that one entity specifies the secondary or subordinate name associated with another entity, typically within a hierarchical naming structure.
-
B.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
C.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
D.
secondedBy
Indicates that an initial proposal, motion, or action by one entity is formally supported or endorsed by another entity as a second.
-
E.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
- F. None of above. chosen
Provenance (4 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
| PDg | Predicate description generation | batch_69fe6e4801108190a6be6bec2d52a1b9 |
completed | May 8, 2026, 11:14 p.m. |
Created at: May 1, 2026, 12:08 a.m.