Triple
T14463574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Median Kingdom |
E358646
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Rhagae (Ray) |
E438450
|
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: Rhagae (Ray) | Statement: [Median Kingdom, majorCity, Rhagae (Ray)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhagae (Ray) Context triple: [Median Kingdom, majorCity, Rhagae (Ray)]
-
A.
Rhagae
chosen
Rhagae is the ancient name of the historic city near modern-day Tehran in Iran, once a major center of the Median and later Persian empires.
-
B.
Rhees
Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
-
C.
Rowriah
Rowriah is a locality in Jorhat, Assam, India, known primarily for hosting Jorhat Airport.
-
D.
Raye
Raye is a British singer, songwriter, and producer known for her genre-blending pop and R&B music and collaborations with prominent artists across electronic and hip-hop scenes.
-
E.
Rahere
Rahere was a 12th-century Anglo-Norman courtier and cleric best known for establishing St Bartholomew's Priory and Hospital in London.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91ad67bc81908ecdaa7262f6dc55 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64973dc08190ab893c95ea3f066c |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.