Triple
T13623255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mara family |
E325511
|
entity |
| Predicate | continuousOwnershipSince |
P111346
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Mara family, continuousOwnershipSince, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuousOwnershipSince Context triple: [Mara family, continuousOwnershipSince, 1925]
-
A.
legalContinuityWith
Indicates that one entity maintains or inherits the legal identity, rights, and obligations of another entity over time, without interruption.
-
B.
continuityFrom
Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
-
C.
hasHistoricalContinuityAs
Indicates that one entity maintains an ongoing, continuous historical existence or identity as another entity over time.
-
D.
maintainsThrough
Indicates that one entity preserves, upholds, or continues a state, condition, or relationship by means of another specified entity, process, or medium.
-
E.
belongsToContinuity
Indicates that something is part of, or exists within, a specific narrative or temporal continuity.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:50 p.m.