Triple
T7970424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bug's Land |
E185307
|
entity |
| Predicate | hadCharacterMeetAndGreet |
P30896
|
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: [A Bug's Land, hadCharacterMeetAndGreet, Atta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atta Context triple: [A Bug's Land, hadCharacterMeetAndGreet, 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.
Ata
Ata is a Turkish given name and honorific meaning "ancestor" or "forefather," famously associated with Mustafa Kemal Atatürk, the founder of modern Turkey.
-
C.
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.
-
D.
Ate
Ate is the Greek goddess of ruin, folly, and delusion, known for leading gods and mortals alike into reckless actions and disastrous consequences.
-
E.
Agta
The Agta are an indigenous Negrito people of the Philippines known for their traditionally nomadic, forest-based lifestyle and rich oral traditions.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd304dc8190b9feee5e17fc66db |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0aadcc48190ae35154195099029 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.