Triple
T7065728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muanda oil terminal |
E164345
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Muanda |
E153801
|
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: Muanda | Statement: [Muanda oil terminal, locatedNear, Muanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muanda Context triple: [Muanda oil terminal, locatedNear, Muanda]
-
A.
Muanda
chosen
Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
-
B.
Mingos
Mingos is the nickname for the passionate supporters of Forward Madison FC, reflecting the club’s flamingo-themed identity.
-
C.
Mornant
Mornant is a commune in eastern France located in the Rhône department, known for its rural character and proximity to the Lyon metropolitan area.
-
D.
Parjanya
Parjanya is a figure in Hindu tradition known as the father of Nanda, the foster father of Lord Krishna.
-
E.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a4e7188190aef123ff1a2aa473 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788bd74d88190bf2f52c95404d9bf |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:39 p.m.