Triple
T6771552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foodo language |
E155054
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object | Foodo |
E618732
|
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: Foodo | Statement: [Foodo language, hasGlottologName, Foodo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foodo Context triple: [Foodo language, hasGlottologName, Foodo]
-
A.
Foodo people
chosen
The Foodo people are an ethnic group in West Africa, primarily in Benin, known for their distinct cultural traditions and their use of the Foodo language.
-
B.
easyFoodstore
easyFoodstore is a low-cost supermarket chain in the UK, created by the easyGroup brand family to offer basic groceries at very low prices.
-
C.
GrabFood
GrabFood is a Southeast Asian on-demand food delivery service integrated into the Grab super app, connecting users with restaurants and couriers for meal orders and delivery.
-
D.
Foodpanda
Foodpanda is an online food and grocery delivery platform operating across multiple countries, connecting customers with restaurants and shops via its app and website.
-
E.
FoodMaxx
FoodMaxx is a U.S. discount supermarket chain known for its warehouse-style, low-price grocery stores.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2496fa08190895d8b625fb0d699 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a803fe08190b4dc32d09e91da07 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:13 p.m.