Triple
T6399362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avul Pakir Jainulabdeen |
E144022
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Avul
Avul is a given name most notably associated with Avul Pakir Jainulabdeen Abdul Kalam, the former President of India and renowned aerospace scientist.
|
E591071
|
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: Avul | Statement: [Avul Pakir Jainulabdeen, hasPart, Avul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avul Context triple: [Avul Pakir Jainulabdeen, hasPart, Avul]
-
A.
Avully
Avully is a small Swiss municipality located in the canton of Geneva, near the French border.
-
B.
Udayan
Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
-
C.
Udayan
Udayan is a residential and commercial block within the Uttarayan Complex, a planned urban development in India.
-
D.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
E.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
- 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: Avul Triple: [Avul Pakir Jainulabdeen, hasPart, Avul]
Generated description
Avul is a given name most notably associated with Avul Pakir Jainulabdeen Abdul Kalam, the former President of India and renowned aerospace scientist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avul Target entity description: Avul is a given name most notably associated with Avul Pakir Jainulabdeen Abdul Kalam, the former President of India and renowned aerospace scientist.
-
A.
Avully
Avully is a small Swiss municipality located in the canton of Geneva, near the French border.
-
B.
Udayan
Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
-
C.
Udayan
Udayan is a residential and commercial block within the Uttarayan Complex, a planned urban development in India.
-
D.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
-
E.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068994354819086cd51b661137f5a |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6389fe9608190adc68f3ad5b0471a |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63a17cf44819099401c8f95af7061 |
completed | March 27, 2026, 8:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a79df9c819088b222a73e763e82 |
completed | March 27, 2026, 8:06 a.m. |
Created at: March 22, 2026, 4:35 p.m.