Triple
T22264760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spercheios valley |
E550320
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Makrakomi |
—
|
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: Makrakomi | Statement: [Spercheios valley, hasSettlement, Makrakomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makrakomi Context triple: [Spercheios valley, hasSettlement, Makrakomi]
-
A.
Makrakomi
chosen
Makrakomi is a town and municipality in Central Greece, situated in the regional unit of Phthiotis.
-
B.
Zefta
Zefta is a village located in southern Lebanon within the Nabatieh Governorate.
-
C.
Marassi
Marassi is a residential district of Genoa, Italy, best known for hosting the historic Stadio Luigi Ferraris football stadium.
-
D.
Likati
Likati is a town in the northern Democratic Republic of the Congo that serves as a local administrative and commercial center.
-
E.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141ba5c9481909e24067133918ae2 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.