Triple
T9544317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A470 |
E230242
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Rhayader |
E42592
|
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: Rhayader | Statement: [A470, connects, Rhayader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhayader Context triple: [A470, connects, Rhayader]
-
A.
Rhayader
chosen
Rhayader is a small market town in Powys, mid Wales, known as a gateway to the Elan Valley reservoirs and surrounding Cambrian Mountains.
-
B.
Rhynern
Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
C.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
D.
Ranon
Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
-
E.
Haradh
Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98ebd4148190b71b134d7545fe35 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6cd93c8190ac197afda780ce78 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.