Triple
T13291421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Motors |
E316567
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
TELCO
TELCO is the former name and widely recognized abbreviation of Tata Motors, one of India’s largest automotive manufacturing companies.
|
E1033381
|
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: TELCO | Statement: [Tata Motors, abbreviation, TELCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TELCO Context triple: [Tata Motors, abbreviation, TELCO]
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Telecom
Telecom is a major New Zealand telecommunications company that has provided phone, mobile, and internet services nationwide and has been involved in prominent sports sponsorships.
-
C.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
-
D.
Celtel International
Celtel International was a pioneering mobile telecommunications company that rapidly expanded cellular services across multiple African countries in the late 1990s and early 2000s.
-
E.
Southern Telecom
Southern Telecom is a telecommunications subsidiary of Southern Company that provides fiber-optic network and related communication services.
- 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: TELCO Triple: [Tata Motors, abbreviation, TELCO]
Generated description
TELCO is the former name and widely recognized abbreviation of Tata Motors, one of India’s largest automotive manufacturing companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TELCO Target entity description: TELCO is the former name and widely recognized abbreviation of Tata Motors, one of India’s largest automotive manufacturing companies.
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Telecom
Telecom is a major New Zealand telecommunications company that has provided phone, mobile, and internet services nationwide and has been involved in prominent sports sponsorships.
-
C.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
-
D.
Celtel International
Celtel International was a pioneering mobile telecommunications company that rapidly expanded cellular services across multiple African countries in the late 1990s and early 2000s.
-
E.
Southern Telecom
Southern Telecom is a telecommunications subsidiary of Southern Company that provides fiber-optic network and related communication services.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99077a8f48190b1163448a3a978a2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d6dc988190ab7183089113237f |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:27 p.m.