Triple
T698930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krammer |
E13954
|
entity |
| Predicate | formerly |
P4380
|
FINISHED |
| Object | estuarine channel |
—
|
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: estuarine channel | Statement: [Krammer, formerly, estuarine channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerly Context triple: [Krammer, formerly, estuarine channel]
-
A.
formerName
Indicates that an entity was previously known by a different name in the past.
-
B.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
C.
formerSiteOf
chosen
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
D.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
E.
formerAdministeredBy
Indicates that an entity was previously administered or managed by another entity, but is no longer under that administration.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.