Triple
T3512498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelion Peninsula |
E74227
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Makrinitsa |
E311619
|
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: Makrinitsa | Statement: [Pelion Peninsula, hasVillage, Makrinitsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makrinitsa Context triple: [Pelion Peninsula, hasVillage, Makrinitsa]
-
A.
Makrinitsa
chosen
Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
-
B.
Mishaninskaya
Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
-
C.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Malyovitsa
Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc10b6b48190bedfed6d34afc425 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e76c3a08190831402ff0c680196 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.