Triple
T38101613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsaritsa of Bulgaria |
E951393
|
entity |
| Predicate | oftenEngagedIn |
P93367
|
FINISHED |
| Object | diplomatic activities |
—
|
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: diplomatic activities | Statement: [Tsaritsa of Bulgaria, oftenEngagedIn, diplomatic activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenEngagedIn Context triple: [Tsaritsa of Bulgaria, oftenEngagedIn, diplomatic activities]
-
A.
sometimesEngageIn
chosen
Indicates that one entity engages in or performs an action or relationship with another entity on an occasional or intermittent basis, rather than consistently or always.
-
B.
engaged
Indicates that two entities are formally committed to enter into a marriage or long-term partnership with each other.
-
C.
engagedOn
Indicates that two entities are committed to be married to each other as of a specific date or point in time.
-
D.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
E.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:21 p.m.