Triple
T2793975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mureș River |
E52991
|
entity |
| Predicate | nameInHungarian |
P27628
|
FINISHED |
| Object | Maros |
E298965
|
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: Maros | Statement: [Mureș River, nameInHungarian, Maros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maros Context triple: [Mureș River, nameInHungarian, Maros]
-
A.
Maros
chosen
Maros is the historical name of the Mureș River, a major waterway flowing through central and eastern Europe, particularly present-day Romania and Hungary.
-
B.
Polomolok
Polomolok is an agricultural municipality in the Philippines known for its large pineapple plantations and proximity to Mount Matutum.
-
C.
M’lang
M’lang is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
-
D.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
E.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9069f481908c4a3e8814caf590 |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:58 p.m.