Triple
T241692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uber |
E4943
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object |
DiDi
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
|
E30980
|
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: DiDi | Statement: [Uber, hasCompetitor, DiDi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DiDi Context triple: [Uber, hasCompetitor, DiDi]
-
A.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
B.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
C.
The D
"The D" is a popular nickname for Detroit, a major U.S. city known for its automotive industry, musical heritage, and role in American industrial history.
-
D.
pir
A pir is a spiritual guide or master in Sufism who leads and mentors disciples on the mystical path to closeness with God.
-
E.
DM
DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
- 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: DiDi Triple: [Uber, hasCompetitor, DiDi]
Generated description
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DiDi Target entity description: DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
-
A.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
B.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
C.
The D
"The D" is a popular nickname for Detroit, a major U.S. city known for its automotive industry, musical heritage, and role in American industrial history.
-
D.
pir
A pir is a spiritual guide or master in Sufism who leads and mentors disciples on the mystical path to closeness with God.
-
E.
DM
DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25cee6f208190b996be4faa700910 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36961e5688190b3a1ff61bb06233c |
completed | Feb. 28, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_69a369de04048190b2dc01cc328e644d |
completed | Feb. 28, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36a48d5a88190a727fec1c25a1d5b |
completed | Feb. 28, 2026, 10:20 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.