Triple
T19870990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicobarese |
E477515
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Car language
Car language is a Nicobarese language variety spoken by the indigenous Car community in the Nicobar Islands of India.
|
E1400439
|
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: Car language | Statement: [Nicobarese, hasPart, Car language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Car language Context triple: [Nicobarese, hasPart, Car language]
-
A.
What Car?
What Car? is a long-running British automotive magazine and consumer guide known for its car reviews, buying advice, and annual awards.
-
B.
The Car
"The Car" is a 2022 studio album by English rock band Arctic Monkeys, noted for its lush orchestration, cinematic atmosphere, and introspective songwriting.
-
C.
The Car
The Car is a 1977 American horror film about a mysterious, driverless automobile that terrorizes a small desert town.
-
D.
Can Car
Can Car is the common abbreviation for Canadian Car and Foundry, a historic Canadian manufacturer best known for producing railway rolling stock, aircraft, and other transportation equipment.
-
E.
Cars universe
The Cars universe is the animated world created by Pixar in which anthropomorphic vehicles live, work, and race, as depicted in the Cars film series and related media.
- 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: Car language Triple: [Nicobarese, hasPart, Car language]
Generated description
Car language is a Nicobarese language variety spoken by the indigenous Car community in the Nicobar Islands of India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Car language Target entity description: Car language is a Nicobarese language variety spoken by the indigenous Car community in the Nicobar Islands of India.
-
A.
What Car?
What Car? is a long-running British automotive magazine and consumer guide known for its car reviews, buying advice, and annual awards.
-
B.
The Car
The Car is a 1977 American horror film about a mysterious, driverless automobile that terrorizes a small desert town.
-
C.
The Car
"The Car" is a 2022 studio album by English rock band Arctic Monkeys, noted for its lush orchestration, cinematic atmosphere, and introspective songwriting.
-
D.
Can Car
Can Car is the common abbreviation for Canadian Car and Foundry, a historic Canadian manufacturer best known for producing railway rolling stock, aircraft, and other transportation equipment.
-
E.
Cars universe
The Cars universe is the animated world created by Pixar in which anthropomorphic vehicles live, work, and race, as depicted in the Cars film series and related media.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a3d2b08190ad81914d4860df0e |
completed | April 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc283388190abe25a678c1671ed |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc57696081908475464010ae707b |
completed | May 16, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dcd440b88190b9f44d16f4e06291 |
completed | May 16, 2026, 2:56 a.m. |
Created at: April 10, 2026, 1:51 p.m.