Triple
T9067062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni-Amer |
E217269
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Beja lands |
E91167
|
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: Beja lands | Statement: [Beni-Amer, historicalRegion, Beja lands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beja lands Context triple: [Beni-Amer, historicalRegion, Beja lands]
-
A.
Beja District
Beja District is an administrative district in southern Portugal, known for its vast agricultural plains and the historic city of Beja as its capital.
-
B.
Beja
chosen
The Beja are a traditionally pastoralist Cushitic-speaking ethnic group of northeastern Africa, primarily inhabiting the Red Sea coastal and desert regions of Sudan and neighboring countries.
-
C.
Mogadouro
Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
-
D.
Beja, Kingdom of Portugal
Beja, Kingdom of Portugal, was a historic city and regional center in southern Portugal known for its strategic importance and medieval heritage.
-
E.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bde9c08190a4f568fbccc3c3e9 |
completed | April 1, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05beac7a08190a4e7634bf02ce304 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:11 p.m.