Triple
T32589763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camlan |
E833031
|
entity |
| Predicate | hasUncertainHistoricity |
P33842
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Camlan, hasUncertainHistoricity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncertainHistoricity Context triple: [Camlan, hasUncertainHistoricity, yes]
-
A.
hasUncertainHistoricBasis
chosen
Indicates that the historical foundation or authenticity of the related fact, event, or relationship is doubtful, disputed, or not firmly established.
-
B.
hasUncertainOrigin
Indicates that the origin or source of an entity, event, or information is unknown, unclear, or not reliably established.
-
C.
hasUncertainBiographicalDetails
Indicates that the biographical information about an entity is incomplete, ambiguous, or not reliably established.
-
D.
chronologicalUncertainty
Indicates that the timing or chronological order of an event or relationship is uncertain or not precisely known.
-
E.
historicalExistence
Indicates that an entity actually existed at some point in real-world history, as opposed to being fictional, hypothetical, or mythological.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:04 a.m.