Triple
T37382401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lepellé River |
E928469
|
entity |
| Predicate | locatedInBayDrainageArea |
P8237
|
FINISHED |
| Object | Ungava Bay |
E219818
|
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: Ungava Bay | Statement: [Lepellé River, locatedInBayDrainageArea, Ungava Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInBayDrainageArea Context triple: [Lepellé River, locatedInBayDrainageArea, Ungava Bay]
-
A.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
-
B.
foundInDrainage
Indicates that something is located or discovered within a drainage system or drainage area.
-
C.
hydrologicallyLocatedIn
chosen
Indicates that a water-related feature (such as a river, lake, or watershed) is situated within or associated with a specific geographic or administrative area in terms of hydrology.
-
D.
locatedInWaterwayAuthorityArea
Indicates that one entity lies within the jurisdictional area governed or managed by a particular waterway authority.
-
E.
locatedInBayOf
Indicates that something is situated within or directly on a specific bay.
- F. None of above.
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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40cda3bc308190a50033a23640c1c2 |
completed | June 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.