Triple
T15811915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worle railway station |
E383374
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WOR
WOR is the National Rail station code for Worle railway station in North Somerset, England.
|
E1177841
|
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: WOR | Statement: [Worle railway station, hasStationCode, WOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WOR Context triple: [Worle railway station, hasStationCode, WOR]
-
A.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
B.
WO
WO is the abbreviation for the Welsh Office, a former UK government department responsible for Welsh affairs.
-
C.
WPO
WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
-
D.
WOB
WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
-
E.
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
- 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: WOR Triple: [Worle railway station, hasStationCode, WOR]
Generated description
WOR is the National Rail station code for Worle railway station in North Somerset, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WOR Target entity description: WOR is the National Rail station code for Worle railway station in North Somerset, England.
-
A.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
B.
WO
WO is the abbreviation for the Welsh Office, a former UK government department responsible for Welsh affairs.
-
C.
WPO
WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
-
D.
WOB
WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
-
E.
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52bbb888190b226567e84ced7e9 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9993c86c8190b1d106af7537080a |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a32d6bc81909d8023de562a2517 |
completed | May 9, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9adb25448190b805046ae6c3ee17 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:49 a.m.