Triple
T26635669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Chess Champion |
E668627
|
entity |
| Predicate | hadSplitTitlePeriod |
P148958
|
FINISHED |
| Object | 1993–2006 |
—
|
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: 1993–2006 | Statement: [World Chess Champion, hadSplitTitlePeriod, 1993–2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSplitTitlePeriod Context triple: [World Chess Champion, hadSplitTitlePeriod, 1993–2006]
-
A.
hasPeriodTitles
chosen
Indicates that an entity is associated with one or more titles that apply specifically to a defined time period.
-
B.
hadTitleSystem
Indicates that an entity possessed or was associated with a particular title within a specified system of titles.
-
C.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
D.
hasInterimTitleOccasionally
Indicates that an entity temporarily holds a specific title or position on an occasional or non-continuous basis.
-
E.
hasLaterTitle
Indicates that one title occurs chronologically after another title in a sequence or timeline.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616298eb48190913aefb29005cd67 |
completed | May 2, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:27 a.m.