Triple
T13568136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastbourne railway station |
E324090
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ore |
E592006
|
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: Ore | Statement: [Eastbourne railway station, connectsTo, Ore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ore Context triple: [Eastbourne railway station, connectsTo, Ore]
-
A.
Ore
chosen
Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
-
B.
Maden
Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
-
C.
Maden
Maden is a town and district in eastern Turkey known historically for its mining activities and mountainous terrain.
-
D.
Greenore
Greenore is a small coastal village and port on Carlingford Lough in County Louth, Ireland, historically known for its ferry services and railway connections.
-
E.
Ormenium
Ormenium was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00e0188819094fde44f85adb69c |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb3d77c8190a7af2ee7e9b6748a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.