Triple
T1957165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meseta Central |
E42295
|
entity |
| Predicate | majorRiver |
P165
|
FINISHED |
| Object | Tajo |
E118542
|
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: Tajo | Statement: [Meseta Central, majorRiver, Tajo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tajo Context triple: [Meseta Central, majorRiver, Tajo]
-
A.
Cieneguilla
Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
-
B.
Tajo Basin
The Tajo Basin is a major sedimentary basin in central Spain associated with the Tagus River, forming part of the broader Meseta Central plateau region.
-
C.
Tajo River
chosen
The Tajo River is the longest river on the Iberian Peninsula, flowing from eastern Spain through central regions into Portugal before emptying into the Atlantic Ocean.
-
D.
Taga
Taga is a town in Shiga Prefecture, Japan, known for its historic Taga Taisha shrine and scenic rural surroundings.
-
E.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37c60148190823f6a2a73b949e8 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae031cc7948190a4d9593cd118c149 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.