Triple
T10419209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumer Godden |
E245600
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Moniaive |
E382485
|
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: Moniaive | Statement: [Rumer Godden, placeOfDeath, Moniaive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moniaive Context triple: [Rumer Godden, placeOfDeath, Moniaive]
-
A.
Moniaive
chosen
Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
-
B.
Monias
Monias is a bird genus in the mesite family, best known for the long-tailed ground-roller-like species endemic to Madagascar’s dry forests.
-
C.
Monywa
Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
-
D.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
-
E.
Monjo
Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2aa7848190a7091ee71722fcc6 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc17c874819096b656056ed2dd8a |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:11 p.m.