Triple
T18680540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remraam |
E456720
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Mudon |
—
|
NE NERFINISHED |
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: Mudon | Statement: [Remraam, nearbyArea, Mudon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mudon Context triple: [Remraam, nearbyArea, Mudon]
-
A.
Mudon
Mudon is a town in southeastern Myanmar known for its proximity to the coast and its role as a local center of agriculture and trade within Mon State.
-
B.
Mudon
chosen
Mudon is a master-planned residential community in Dubai known for its family-friendly environment, townhouses, and extensive amenities.
-
C.
Mudlij
Mudlij is a subtribe within the larger Arab tribal grouping of Kinana.
-
D.
Mudurnu
Mudurnu is a historic town and district in northwestern Turkey known for its well-preserved Ottoman architecture and traditional urban fabric.
-
E.
Mudichur
Mudichur is a suburban residential locality near Vandalur in the southern part of Chennai, Tamil Nadu, known for its rapidly developing housing areas and proximity to key transport links.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2840548190ababe1cc603b4784 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:48 a.m.