Triple
T4351822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Taxi |
E98043
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DTC
DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
|
E433370
|
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: DTC | Statement: [Dubai Taxi, shortName, DTC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTC Context triple: [Dubai Taxi, shortName, DTC]
-
A.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
-
B.
DTTA
DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
-
C.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
D.
DCC
DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
-
E.
DCC
DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
- 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: DTC Triple: [Dubai Taxi, shortName, DTC]
Generated description
DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DTC Target entity description: DTC is the official taxi service operator in Dubai, providing metered cabs and related transport services across the city.
-
A.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
-
B.
DTTA
DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
-
C.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
D.
DCC
DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
-
E.
DCC
DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351ab03488190a8900de98fb4a00e |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb01fb0819083fbdd194b2a96f8 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dcca1168819081480cf2f32cf23f |
completed | March 14, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd4fe660819080484016bc4c8ff8 |
completed | March 14, 2026, 10:12 p.m. |
Created at: March 12, 2026, 11:15 p.m.