Triple
T9700751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InterAcademy Partnership |
E234768
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
IAP
IAP is a global network of science, engineering, and medical academies that collaborates to provide independent, evidence-based advice on critical scientific and policy issues.
|
E814355
|
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: IAP | Statement: [InterAcademy Partnership, hasAlternativeName, IAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IAP Context triple: [InterAcademy Partnership, hasAlternativeName, IAP]
-
A.
StoreKit
StoreKit is an Apple framework that enables in-app purchases, subscriptions, and App Store interactions for macOS and other Apple platforms.
-
B.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
C.
Le Store
Le Store is the French title of the Magic: The Gathering card known in English as "The Sunblind."
-
D.
Glu Mobile
Glu Mobile is an American mobile game developer and publisher known for creating popular free-to-play titles, including celebrity-branded games.
-
E.
IN-AP
IN-AP is the ISO 3166-2 code representing the Indian state of Andhra Pradesh.
- 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: IAP Triple: [InterAcademy Partnership, hasAlternativeName, IAP]
Generated description
IAP is a global network of science, engineering, and medical academies that collaborates to provide independent, evidence-based advice on critical scientific and policy issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IAP Target entity description: IAP is a global network of science, engineering, and medical academies that collaborates to provide independent, evidence-based advice on critical scientific and policy issues.
-
A.
StoreKit
StoreKit is an Apple framework that enables in-app purchases, subscriptions, and App Store interactions for macOS and other Apple platforms.
-
B.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
C.
Le Store
Le Store is the French title of the Magic: The Gathering card known in English as "The Sunblind."
-
D.
Glu Mobile
Glu Mobile is an American mobile game developer and publisher known for creating popular free-to-play titles, including celebrity-branded games.
-
E.
IN-AP
IN-AP is the ISO 3166-2 code representing the Indian state of Andhra Pradesh.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d191ea02e8819097e5a4247a8084f6 |
completed | April 4, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19251095881909272c53c026b2ad1 |
completed | April 4, 2026, 10:36 p.m. |
Created at: March 30, 2026, 8:18 p.m.