Triple
T21702405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilsea railway station |
E535690
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HLS
HLS is the National Rail station code for Hilsea railway station in Portsmouth, England.
|
E1496433
|
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: HLS | Statement: [Hilsea railway station, hasStationCode, HLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLS Context triple: [Hilsea railway station, hasStationCode, HLS]
-
A.
HLS
HLS is the standardized high-level framework that harmonizes the structure and core requirements of ISO management system standards across different disciplines.
-
B.
HLS
HLS (HTTP Live Streaming) is Apple’s adaptive bitrate streaming protocol widely used for delivering live and on-demand audio and video over the internet.
-
C.
HLS
HLS is the station code for Hillsdale station, a commuter rail stop serving the Hillsdale area.
-
D.
HVS
HVS is the abbreviation for the Hauptverwaltung Seepolizei, the main maritime police authority in East Germany responsible for coastal and sea security.
-
E.
MPEG-H
MPEG-H is a family of ISO/IEC standards developed by MPEG for advanced audio and multimedia coding, including immersive and 3D audio applications.
- 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: HLS Triple: [Hilsea railway station, hasStationCode, HLS]
Generated description
HLS is the National Rail station code for Hilsea railway station in Portsmouth, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HLS Target entity description: HLS is the National Rail station code for Hilsea railway station in Portsmouth, England.
-
A.
HLS
HLS is the standardized high-level framework that harmonizes the structure and core requirements of ISO management system standards across different disciplines.
-
B.
HLS
HLS (HTTP Live Streaming) is Apple’s adaptive bitrate streaming protocol widely used for delivering live and on-demand audio and video over the internet.
-
C.
HLS
HLS is the station code for Hillsdale station, a commuter rail stop serving the Hillsdale area.
-
D.
HVS
HVS is the abbreviation for the Hauptverwaltung Seepolizei, the main maritime police authority in East Germany responsible for coastal and sea security.
-
E.
MPEG-H
MPEG-H is a family of ISO/IEC standards developed by MPEG for advanced audio and multimedia coding, including immersive and 3D audio applications.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b8161348190842c433531cfaa5b |
completed | April 27, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e2937688190a8a989ada1101a07 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1ebd2bbc819083021cbc5873bfed |
completed | May 17, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fa12dbc8190a263b12f75ef073b |
completed | May 17, 2026, 8:05 p.m. |
Created at: April 16, 2026, 6:45 p.m.