Triple
T14140255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woolston railway station |
E350403
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WLS
WLS is the National Rail station code for Woolston railway station in Southampton, England.
|
E1082746
|
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: WLS | Statement: [Woolston railway station, hasStationCode, WLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLS Context triple: [Woolston railway station, hasStationCode, WLS]
-
A.
WLS
WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
-
B.
WLS-FM
WLS-FM is a Chicago-based commercial radio station known for its classic hits format and shared heritage with the historic WLS brand.
-
C.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
-
D.
WLS (AM)
WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
-
E.
WIS
WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
- 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: WLS Triple: [Woolston railway station, hasStationCode, WLS]
Generated description
WLS is the National Rail station code for Woolston railway station in Southampton, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WLS Target entity description: WLS is the National Rail station code for Woolston railway station in Southampton, England.
-
A.
WLS
WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
-
B.
WLS-FM
WLS-FM is a Chicago-based commercial radio station known for its classic hits format and shared heritage with the historic WLS brand.
-
C.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
-
D.
WLS (AM)
WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
-
E.
WIS
WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf18e3d08190b287e2da192d05eb |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce1a2a4c881908d18b45917286712 |
completed | May 7, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce24e7860819097f51a4907c894a7 |
completed | May 7, 2026, 7:04 p.m. |
Created at: April 10, 2026, 12:45 a.m.