Triple
T12195497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pesedjet |
E290574
|
entity |
| Predicate | associatedWithCity |
P1481
|
FINISHED |
| Object | Iunu |
E965381
|
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: Iunu | Statement: [Pesedjet, associatedWithCity, Iunu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iunu Context triple: [Pesedjet, associatedWithCity, Iunu]
-
A.
Iunu
chosen
Iunu is the ancient Egyptian city better known by its Greek name Heliopolis, a major religious center dedicated to the sun god Ra.
-
B.
Gorie
Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
-
C.
Iturea
Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
-
D.
Eniwa
Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
-
E.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c55a5a881909c0eea2d83c00f49 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a8f31508190972d282b5a8816df |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.