Triple
T4941005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Romney |
E110931
|
entity |
| Predicate | currentGeographicalStatus |
P34406
|
FINISHED |
| Object | now inland on Romney Marsh |
—
|
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: now inland on Romney Marsh | Statement: [New Romney, currentGeographicalStatus, now inland on Romney Marsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentGeographicalStatus Context triple: [New Romney, currentGeographicalStatus, now inland on Romney Marsh]
-
A.
locationStatus
chosen
Indicates the current state or condition of an entity with respect to a specific location (e.g., present, absent, en route, or unknown).
-
B.
presentDayLocationCorrespondsTo
Indicates that the current, real-world location of an entity matches or aligns with a specified reference location.
-
C.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
D.
currentLocationSince
Indicates the point in time since which an entity has been at its current location.
-
E.
currentLocationCountry
Indicates that one entity is the country in which another entity is currently located.
- F. None of above.
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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708ba9888190baf4e79c8f159e9f |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.