Triple
T17666976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Forcalquier |
E440407
|
entity |
| Predicate | historicalHolderStatus |
P28623
|
FINISHED |
| Object | medieval monarch |
—
|
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: medieval monarch | Statement: [Countess of Forcalquier, historicalHolderStatus, medieval monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalHolderStatus Context triple: [Countess of Forcalquier, historicalHolderStatus, medieval monarch]
-
A.
historicalStatusOf
chosen
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
B.
statusOfHolder
Indicates the current condition, role, or standing associated with the entity that holds or possesses something.
-
C.
historicalRecordStatus
Indicates the status or condition of a record within a historical or archival context (e.g., active, archived, revised, or obsolete).
-
D.
hasHistoricalHoldings
Indicates that an entity possesses or maintains items, records, or assets of historical significance.
-
E.
previousHoldersInclude
Indicates that among the entities that have held a particular role, position, or item in the past, at least one is included in the referenced set of entities.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46eaaaec8819086977d8a5210c44e |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:57 a.m.