Triple
T5368949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid |
E108797
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Inga |
E115330
|
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: Inga | Statement: [Ingrid, hasShortForm, Inga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inga Context triple: [Ingrid, hasShortForm, Inga]
-
A.
Inga
Inga are an Indigenous people of the Andean region of Colombia, known for their Quechua-related language and rich traditions in agriculture, herbal medicine, and communal life.
-
B.
Inga
chosen
Inga is the given first name of American rapper and actress Foxy Brown, whose full name is Inga DeCarlo Fung Marchand.
-
C.
Makira
Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
-
D.
Gouania
Gouania is a genus of flowering plants in the buckthorn family, comprising mostly tropical climbing shrubs and vines.
-
E.
Urera
Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86873e0c8190bf5ecede2cc2bd8b |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf292c4d1c819088f7b977ac212688 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.