Triple
T22543657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Demeter at Anthela |
E557359
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Malis |
—
|
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: Malis | Statement: [Sanctuary of Demeter at Anthela, locatedIn, Malis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malis Context triple: [Sanctuary of Demeter at Anthela, locatedIn, Malis]
-
A.
Malis
chosen
Malis is an ancient region of central Greece, near Thermopylae, known from classical Greek history and geography.
-
B.
Marale
Marale is a small municipality located in the Francisco Morazán Department of central Honduras.
-
C.
Maléku
Maléku are an Indigenous people of northern Costa Rica known for their distinct language, rich artistic traditions, and efforts to preserve their ancestral culture and rainforest homeland.
-
D.
Mazilu
Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
-
E.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f33c9cc819086d098f36e4121dc |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.