Triple
T11763097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkstheater U-Bahn station |
E279703
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
VOT
VOT is the station code used to identify the Volkstheater U-Bahn station in the Vienna public transport network.
|
E943905
|
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: VOT | Statement: [Volkstheater U-Bahn station, hasStationCode, VOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOT Context triple: [Volkstheater U-Bahn station, hasStationCode, VOT]
-
A.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
B.
VOTV
VOTV is the ICAO airport code for Trivandrum International Airport, a major airport serving Thiruvananthapuram in the Indian state of Kerala.
-
C.
VOCI
VOCI is the ICAO airport code for Cochin International Airport in Kochi, India, a major international gateway in the state of Kerala.
-
D.
VOTP
VOTP is the ICAO airport code assigned to Tirupati Airport in Andhra Pradesh, India.
-
E.
VOZ
VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
- 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: VOT Triple: [Volkstheater U-Bahn station, hasStationCode, VOT]
Generated description
VOT is the station code used to identify the Volkstheater U-Bahn station in the Vienna public transport network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VOT Target entity description: VOT is the station code used to identify the Volkstheater U-Bahn station in the Vienna public transport network.
-
A.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
B.
VOTV
VOTV is the ICAO airport code for Trivandrum International Airport, a major airport serving Thiruvananthapuram in the Indian state of Kerala.
-
C.
VOCI
VOCI is the ICAO airport code for Cochin International Airport in Kochi, India, a major international gateway in the state of Kerala.
-
D.
VOTP
VOTP is the ICAO airport code assigned to Tirupati Airport in Andhra Pradesh, India.
-
E.
VOZ
VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5248e0881909ed1b4df7be422f7 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_69f043b3c51c8190a764433e86f1333e |
completed | April 28, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05b04d7248190b8ec4be4f2c3e388 |
completed | April 28, 2026, 7 a.m. |
Created at: April 8, 2026, 9:41 p.m.