Triple
T16530994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Clay Formation |
E401564
|
entity |
| Predicate | overlies |
P6130
|
FINISHED |
| Object | Reading Formation |
E401566
|
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: Reading Formation | Statement: [London Clay Formation, overlies, Reading Formation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading Formation Context triple: [London Clay Formation, overlies, Reading Formation]
-
A.
Reading Formation
chosen
The Reading Formation is a geological rock unit in southeast England, particularly around the London area, consisting mainly of Paleogene-age clays, sands, and gravels deposited in fluvial and estuarine environments.
-
B.
Reading
Reading is a historic city in southeastern Pennsylvania known for its industrial heritage, transportation links, and role as a regional cultural and economic center.
-
C.
Reading
"Reading" is an Impressionist painting by Berthe Morisot that depicts a quiet, intimate moment of a woman absorbed in a book.
-
D.
Reading
Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
-
E.
Reading A
Reading A is a generating unit within the Reading Power Station, contributing to the facility’s overall electricity production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed741088190a285f8f9431810f3 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00609129808190b893346e06deb944 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.