Triple
T14048724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agta |
E338026
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Atta |
E391901
|
NE FINISHED |
How this triple was built (2 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: Atta | Statement: [Agta, alsoKnownAs, Atta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atta Context triple: [Agta, alsoKnownAs, Atta]
-
A.
Atta
chosen
Atta is a genus of New World leafcutter ants known for their complex social colonies and large-scale fungus farming using freshly cut plant material.
-
B.
Atta
Atta is a surname most widely recognized for its association with Mohamed Atta, one of the lead hijackers in the September 11, 2001 attacks.
-
C.
Ata
Ata is a Turkish given name and honorific meaning "ancestor" or "forefather," famously associated with Mustafa Kemal Atatürk, the founder of modern Turkey.
-
D.
Attah
Attah is the surname of Ghanaian actor Abraham Attah, known for his acclaimed debut role in the film "Beasts of No Nation."
-
E.
Ate
Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc345a4c081908f803cc53b4f8bca |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.