Triple
T9851998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlax Roma |
E239490
|
entity |
| Predicate | hasHistoricalExperienceOf |
P37550
|
FINISHED |
| Object | slavery in Romanian principalities |
—
|
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: slavery in Romanian principalities | Statement: [Vlax Roma, hasHistoricalExperienceOf, slavery in Romanian principalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalExperienceOf Context triple: [Vlax Roma, hasHistoricalExperienceOf, slavery in Romanian principalities]
-
A.
hasHistoryOf
chosen
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
B.
hasGlobalExperience
Indicates that an entity possesses experience gained from working, operating, or engaging across multiple countries or international contexts.
-
C.
isHistoricallySuccessful
Indicates that an entity has achieved notable success or positive outcomes over a significant period in the past.
-
D.
hasLongHistory
Indicates that the relationship or subject has existed or persisted over a long period of time.
-
E.
hasHistoricalUsageIn
Indicates that something has been used or practiced within a particular historical period, context, or tradition.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb375ba448190a32cca2b0f376ac1 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.