Triple
T15397654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holmbury St Mary |
E368218
|
entity |
| Predicate | geology |
P450
|
FINISHED |
| Object | Greensand |
E364109
|
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: Greensand | Statement: [Holmbury St Mary, geology, Greensand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greensand Context triple: [Holmbury St Mary, geology, Greensand]
-
A.
Greensand
chosen
Greensand is a glauconite-rich, greenish sandstone commonly found in southern England, valued both as a geological marker and historically as a soil conditioner.
-
B.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
C.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
D.
Tyndall stone
Tyndall stone is a fossil-rich, buff-colored dolomitic limestone from Manitoba widely used as an ornamental building stone across Canada.
-
E.
Ocre
Ocre is a small historic town in Italy’s Abruzzo region, known for its medieval architecture and scenic mountain setting.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.