Triple
T2296623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Hall (London) |
E51630
|
entity |
| Predicate | locatedOnBankOfRiver |
P39043
|
FINISHED |
| Object | south bank of the River Thames |
—
|
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: south bank of the River Thames | Statement: [City Hall (London), locatedOnBankOfRiver, south bank of the River Thames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnBankOfRiver Context triple: [City Hall (London), locatedOnBankOfRiver, south bank of the River Thames]
-
A.
locatedAcrossRiverFrom
Indicates that one entity is situated on the opposite side of a river relative to another entity.
-
B.
hasCityOnRiver
Indicates that a city is located on or along the course of a particular river.
-
C.
locatedInRiverValley
Indicates that something is situated within the geographical area of a river valley.
-
D.
hasTownOnRiver
Indicates that a town is situated on or directly adjacent to a particular river.
-
E.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
- 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_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcd0d01ac8190935fe904905cb233 |
completed | March 7, 2026, 7 a.m. |
Created at: March 4, 2026, 7:49 p.m.