Triple
T17700538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR1 camera |
E441285
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
IR1
IR1 is a model of infrared (IR) camera used for capturing images based on thermal radiation rather than visible light.
|
E1283098
|
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: IR1 | Statement: [IR1 camera, alsoKnownAs, IR1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IR1 Context triple: [IR1 camera, alsoKnownAs, IR1]
-
A.
IR8
IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
-
B.
IR
IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
-
C.
IR
IR is the ISO 3166-1 alpha-2 country code for Iran, a large Middle Eastern nation known for its ancient Persian heritage and significant geopolitical influence.
-
D.
IR
IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
-
E.
IRI
IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
- 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: IR1 Triple: [IR1 camera, alsoKnownAs, IR1]
Generated description
IR1 is a model of infrared (IR) camera used for capturing images based on thermal radiation rather than visible light.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IR1 Target entity description: IR1 is a model of infrared (IR) camera used for capturing images based on thermal radiation rather than visible light.
-
A.
IR8
IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
-
B.
IR
IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
-
C.
IR
IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
-
D.
IR
IR is the ISO 3166-1 alpha-2 country code for Iran, a large Middle Eastern nation known for its ancient Persian heritage and significant geopolitical influence.
-
E.
IRI
IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715ae1fc81908438a1bba970c6ec |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022337cd58819083e2f87b3afa6d97 |
completed | May 11, 2026, 6:43 p.m. |
| NEDg | Description generation | batch_6a0228ff746c8190a0bbd20050895faf |
completed | May 11, 2026, 7:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02295aec988190b7b6ecd509616ffa |
completed | May 11, 2026, 7:09 p.m. |
Created at: April 10, 2026, 10:04 a.m.