Triple
T8971186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokesdown railway station |
E214268
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Pokesdown |
E770224
|
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: Pokesdown | Statement: [Pokesdown railway station, nearbySettlement, Pokesdown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pokesdown Context triple: [Pokesdown railway station, nearbySettlement, Pokesdown]
-
A.
Pokesdown
chosen
Pokesdown is a suburb of Bournemouth in Dorset, England, known primarily as a residential area served by its local railway station.
-
B.
Parchen
Parchen is a village and district of the town of Genthin in the German state of Saxony-Anhalt.
-
C.
Tackley
Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
-
D.
Pigeon Hill
Pigeon Hill is a historic Civil War battlefield site in Georgia, known for its role in the 1864 Battle of Kennesaw Mountain.
-
E.
Potato Hill
Potato Hill is a natural high point or summit located along the Deep Gap Trail, commonly visited by hikers exploring the surrounding mountainous terrain.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67672c108190919ae6ca69b6291f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb8aff9c81908554788f583925bf |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:02 p.m.