Triple
T17777911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio Abad |
E443820
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
STO
STO is the station code for San Antonio Abad, a stop on the Madrid Metro system in Spain.
|
E1286667
|
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: STO | Statement: [San Antonio Abad, stationCode, STO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STO Context triple: [San Antonio Abad, stationCode, STO]
-
A.
STO
STO is the station code for Stockel–Stokkel, a metro station in Brussels, Belgium.
-
B.
STO
STO is the market identifier code used to represent the Nasdaq Stockholm (OMX Stockholm) stock exchange in financial data systems.
-
C.
STO
STO is the abbreviation for the Free Territory of Trieste, a former independent territory around the city of Trieste established after World War II.
-
D.
STO
STO is the commonly used abbreviation for Storhamar Hockey, a professional ice hockey club based in Hamar, Norway.
-
E.
STK
STK is a trendy, high-energy modern steakhouse and lounge known for its stylish atmosphere, DJ-driven music, and upscale dining experience.
- 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: STO Triple: [San Antonio Abad, stationCode, STO]
Generated description
STO is the station code for San Antonio Abad, a stop on the Madrid Metro system in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STO Target entity description: STO is the station code for San Antonio Abad, a stop on the Madrid Metro system in Spain.
-
A.
STO
STO is the abbreviation for the Free Territory of Trieste, a former independent territory around the city of Trieste established after World War II.
-
B.
STO
STO is the station code for Stockel–Stokkel, a metro station in Brussels, Belgium.
-
C.
STO
STO is the commonly used abbreviation for Storhamar Hockey, a professional ice hockey club based in Hamar, Norway.
-
D.
STO
STO is the market identifier code used to represent the Nasdaq Stockholm (OMX Stockholm) stock exchange in financial data systems.
-
E.
STK
STK is a trendy, high-energy modern steakhouse and lounge known for its stylish atmosphere, DJ-driven music, and upscale dining experience.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc9c0e88190977da0421df6b1a7 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f08892e08190a75c4e523366feda |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f18036788190ad1a2893fd104261 |
completed | May 12, 2026, 9:23 a.m. |
Created at: April 10, 2026, 10:12 a.m.