Triple
T34343226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seine-Normandie river basin district |
E881354
|
entity |
| Predicate | hasMajorCityOnTributary |
P203523
|
FINISHED |
| Object | Reims |
E9677
|
NE 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: Reims | Statement: [Seine-Normandie river basin district, hasMajorCityOnTributary, Reims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCityOnTributary Context triple: [Seine-Normandie river basin district, hasMajorCityOnTributary, Reims]
-
A.
hasMajorCityOnBasin
Indicates that a major city is located on or within the drainage basin of a specified water system.
-
B.
hasMajorCityOnRiver
Indicates that a major city is located on and directly associated with a particular river.
-
C.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
-
D.
hasCityOnRiver
Indicates that a city is located on or along the course of a particular river.
-
E.
locatedOnTributaryOf
Indicates that one entity is situated along or on the banks of a tributary that flows into another specified water body.
- F. None of above. chosen
Provenance (5 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a019b8995dc819088727aa023beadce |
completed | May 11, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3718116c9881908b482f0ea872d1c3 |
completed | June 20, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_6a01961bb748819096a941f1b5443908 |
completed | May 11, 2026, 8:40 a.m. |
| PDg | Predicate description generation | batch_6a019b88bbc88190924c1f0cdea6dd79 |
completed | May 11, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:58 a.m.