Triple
T23293016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stühlingen |
E590085
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
WT
WT is the vehicle registration code for the district of Waldshut in the German state of Baden-Württemberg.
|
E1581307
|
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: WT | Statement: [Stühlingen, vehicleRegistrationCode, WT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WT Context triple: [Stühlingen, vehicleRegistrationCode, WT]
-
A.
WT
WT is the international governing body responsible for overseeing and promoting the sport of taekwondo worldwide.
-
B.
TW
TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
-
C.
TW
TW is the IATA airline designator assigned to T’way Air, a South Korean low-cost carrier.
-
D.
TW
TW is a UK postcode area in southwest London and parts of Surrey, covering towns such as Twickenham and Staines-upon-Thames.
-
E.
TW
TW is the stock ticker symbol for Towers Watson, a global professional services firm specializing in risk management, insurance brokerage, and human resources consulting.
- 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: WT Triple: [Stühlingen, vehicleRegistrationCode, WT]
Generated description
WT is the vehicle registration code for the district of Waldshut in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WT Target entity description: WT is the vehicle registration code for the district of Waldshut in the German state of Baden-Württemberg.
-
A.
WT
WT is the international governing body responsible for overseeing and promoting the sport of taekwondo worldwide.
-
B.
TW
TW is the IATA airline designator assigned to T’way Air, a South Korean low-cost carrier.
-
C.
TW
TW is the stock ticker symbol for Towers Watson, a global professional services firm specializing in risk management, insurance brokerage, and human resources consulting.
-
D.
TW
TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
-
E.
TW
TW is a UK postcode area in southwest London and parts of Surrey, covering towns such as Twickenham and Staines-upon-Thames.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c908ecc8190b2f9c7ade1beed3e |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c5035e4f08190bcab7317ebcf8db7 |
completed | May 19, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c50c394108190a0657bbf3923cc73 |
completed | May 19, 2026, noon |
Created at: April 17, 2026, 5:02 p.m.