Triple
T6422031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hastings railway station |
E127965
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Ore
Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
|
E592006
|
NE FINISHED |
How this triple was built (4 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: [Hastings railway station, connectsTo, Ore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ore Context triple: [Hastings railway station, connectsTo, Ore]
-
A.
Ormenium
Ormenium was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
-
B.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
C.
Laurium
Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
-
D.
Ellnora
Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
-
E.
Erdberg
Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ore Triple: [Hastings railway station, connectsTo, Ore]
Generated description
Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ore Target entity description: Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
-
A.
Ormenium
Ormenium was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources such as Homer’s Iliad.
-
B.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
C.
Laurium
Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
-
D.
Ellnora
Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
-
E.
Erdberg
Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
- F. None of above. chosen
Provenance (5 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06903f67c8190a1e5babeede4e183 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640d8f7548190a8e0433df56b77f3 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c64142633c819094c3bbdabd8f7951 |
completed | March 27, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641c3d3188190bcf6bede4c90dc9d |
completed | March 27, 2026, 8:37 a.m. |
Created at: March 22, 2026, 4:43 p.m.