Triple
T2299945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Anna of Spain |
E51705
|
entity |
| Predicate | titleHeldDuringPeriod |
P38592
|
FINISHED |
| Object | Holy Roman Empress from 1637 to 1646 |
—
|
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: Holy Roman Empress from 1637 to 1646 | Statement: [Maria Anna of Spain, titleHeldDuringPeriod, Holy Roman Empress from 1637 to 1646]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldDuringPeriod Context triple: [Maria Anna of Spain, titleHeldDuringPeriod, Holy Roman Empress from 1637 to 1646]
-
A.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
-
B.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
C.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
-
D.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
-
E.
notableTitleHeld
Indicates that an entity has held a distinguished or noteworthy title, rank, or official position.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcbab15488190bc8d2345f9d9f2bd |
completed | March 7, 2026, 6:54 a.m. |
Created at: March 4, 2026, 7:49 p.m.