Triple
T18009702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyborian Age |
E430843
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Turan |
—
|
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: Turan | Statement: [Hyborian Age, associatedPlace, Turan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turan Context triple: [Hyborian Age, associatedPlace, Turan]
-
A.
Turan
chosen
Turan is a legendary land and people in Persian mythology and epic literature, often portrayed as the arch-enemies of Iran in works like the Shahnameh.
-
B.
Turan
Turan is the Etruscan goddess of love, beauty, and fertility, often associated with the Greek Aphrodite.
-
C.
Touqan
Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
-
D.
Almalyk
Almalyk is a historic Central Asian city, now located in southeastern Kazakhstan, that was once an important Silk Road trading center.
-
E.
Turkmeneli
Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51f0a488190bd34e1f9039f4dc9 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.