Triple
T15601431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zand Iran |
E375041
|
entity |
| Predicate | territoryIncluded |
P11790
|
FINISHED |
| Object | Luristan |
E804859
|
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: Luristan | Statement: [Zand Iran, territoryIncluded, Luristan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luristan Context triple: [Zand Iran, territoryIncluded, Luristan]
-
A.
Luristan
chosen
Luristan is a historical region in western Iran, known for its mountainous terrain, Lur ethnic population, and distinctive ancient bronze artifacts.
-
B.
Khorasan
Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
-
C.
Hashtgerd
Hashtgerd is a city in northern Iran that serves as an important urban center and gateway within Alborz Province, located west of Tehran.
-
D.
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.
-
E.
Margiana
Margiana was an ancient historical region in Central Asia, centered on the oasis city of Merv and known for its role as a key hub along the Silk Road.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f355ff48190a2c2c262c09e6de0 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:12 a.m.