Triple
T6491532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lippe |
E148047
|
entity |
| Predicate | bankPosition |
P8340
|
FINISHED |
| Object | right-bank |
—
|
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: right-bank | Statement: [Lippe, bankPosition, right-bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bankPosition Context triple: [Lippe, bankPosition, right-bank]
-
A.
denominationBranch
Indicates that one religious organization or group is a subordinate branch, division, or subset of a larger religious denomination.
-
B.
hasBank
Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
-
C.
hasFinancialInstitution
Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
-
D.
hasLandmarkOnBank
chosen
Indicates that a landmark is located on the bank (shore or edge) of a geographic feature such as a river, lake, or canal.
-
E.
numberOfBanks
Indicates the quantity or count of banks associated with a given entity or context.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.