Triple
T27251239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidach |
E687490
|
entity |
| Predicate | hasPrimaryContemporaryRecords |
P195346
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Fidach, hasPrimaryContemporaryRecords, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryContemporaryRecords Context triple: [Fidach, hasPrimaryContemporaryRecords, false]
-
A.
hasNotableContemporary
Indicates that one entity is recognized as a significant or prominent contemporary (living or active in the same period) of another entity.
-
B.
hasPrimaryUseHistoric
Indicates that something is primarily used for historic or heritage-related purposes.
-
C.
hasContemporaryRecognition
Indicates that an entity is currently acknowledged, honored, or widely recognized in the present time or modern era.
-
D.
hasModernRepresentatives
Indicates that an entity has current or contemporary examples, members, or instances that represent it in the modern era.
-
E.
hasContemporaryActivity
Indicates that two activities occur during the same time period or overlap in time.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: April 27, 2026, 10:45 a.m.