Triple
T4650460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horley railway station |
E102280
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HOR
HOR is the National Rail station code for Horley railway station in Surrey, England.
|
E457820
|
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: HOR | Statement: [Horley railway station, hasStationCode, HOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOR Context triple: [Horley railway station, hasStationCode, HOR]
-
A.
HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
-
B.
HoR
HoR is a common abbreviation for the House of Representatives, the lower chamber of a bicameral legislature in several countries, including the United States.
-
C.
Hor
Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
-
D.
Ho
Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
-
E.
Ho
Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
- 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: HOR Triple: [Horley railway station, hasStationCode, HOR]
Generated description
HOR is the National Rail station code for Horley railway station in Surrey, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOR Target entity description: HOR is the National Rail station code for Horley railway station in Surrey, England.
-
A.
HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
-
B.
HoR
HoR is a common abbreviation for the House of Representatives, the lower chamber of a bicameral legislature in several countries, including the United States.
-
C.
Hor
Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
-
D.
Ho
Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
-
E.
Ho
Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6302078081909451589d39c7b28c |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfae7636881908244b86cba1c66b7 |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfbc12acc8190b8116a6003abb3e3 |
completed | March 21, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc44536c8190a71e52b0690a7570 |
completed | March 21, 2026, 2:02 a.m. |
Created at: March 20, 2026, 1:14 p.m.