Triple
T18304675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhages |
E438451
|
entity |
| Predicate | locatedInPresentDay |
P40
|
FINISHED |
| Object | Iran |
—
|
NE NERFINISHED |
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: Iran | Statement: [Rhages, locatedInPresentDay, Iran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iran Context triple: [Rhages, locatedInPresentDay, Iran]
-
A.
Iran
chosen
Iran is a Middle Eastern country that, after being occupied by British and Soviet forces in 1941, aligned with the Allies in World War II and served as a crucial supply corridor to the Soviet Union.
-
B.
Iraan
Iraan is a small West Texas city known for its oil-industry roots and location along the Pecos River.
-
C.
Iranistan
Iranistan was P.T. Barnum’s lavish, Moorish-style mansion in Bridgeport, Connecticut, famed for its exotic architecture before it was destroyed by fire in the 19th century.
-
D.
Quhistan
Quhistan was a historical region in eastern Iran known for its mountainous terrain and as a stronghold of the medieval Nizari Ismailis.
-
E.
Iranun
Iranun is an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Sabah and Mindanao, closely related to Maranao and Maguindanaon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.