Triple
T12519112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerċem |
E299267
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Munxar |
E299268
|
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: Munxar | Statement: [Kerċem, hasBorderWith, Munxar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munxar Context triple: [Kerċem, hasBorderWith, Munxar]
-
A.
Munxar
chosen
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
B.
Maullín
Maullín is a small coastal town and commune in southern Chile’s Los Lagos Region, known for its wetlands, rich birdlife, and traditional fishing culture.
-
C.
Mundlana
Mundlana is a town located in the Sonipat district of the northern Indian state of Haryana.
-
D.
Munnings
Munnings is the surname of Alfred Munnings, a renowned English painter celebrated for his depictions of horses and rural life.
-
E.
Munnings
Munnings is a prominent American Thoroughbred racehorse and successful sire known for his speed and influence in modern bloodlines.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545a2e188190bb92120df740003d |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655745cec8190b5582eb4a339d501 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.