Triple
T5792170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pars |
E128420
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Persis |
E132292
|
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: Persis | Statement: [Pars, knownAs, Persis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persis Context triple: [Pars, knownAs, Persis]
-
A.
Persis
chosen
Persis is the ancient region in southwestern Iran that served as the core homeland and power base of the Persian people and early Persian empires.
-
B.
Iliou Persis
Iliou Persis is an ancient Greek epic poem, now lost, that narrated the sack and destruction of Troy as part of the wider Trojan cycle.
-
C.
Ionia
Ionia was an ancient region on the central western coast of Anatolia, famed as a cradle of Greek philosophy, science, and poetry.
-
D.
Mygdonia
Mygdonia was an ancient historical region in northern Greece, located in what is now central Macedonia near Thessaloniki.
-
E.
Arcádia
Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.