Triple
T15603221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khosrow II |
E375085
|
entity |
| Predicate | seizedCity |
P8502
|
FINISHED |
| Object | Alexandria |
E2920
|
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: Alexandria | Statement: [Khosrow II, seizedCity, Alexandria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandria Context triple: [Khosrow II, seizedCity, Alexandria]
-
A.
Alexandria
chosen
Alexandria is a historic Mediterranean port city in northern Egypt, renowned for its ancient library, lighthouse, and enduring role as a cultural and intellectual center.
-
B.
Alexandria
Alexandria is a small town in West Dunbartonshire, Scotland, situated near the southern end of Loch Lomond and known as a gateway to the Loch Lomond and The Trossachs National Park.
-
C.
Alexandria
Alexandria is a mid-sized city in central Louisiana known as a regional hub for government, healthcare, and commerce along the Red River.
-
D.
Alexandria
Alexandria is the young girl whose friendship with a hospitalized stuntman drives the emotional narrative of the fantasy-drama film "The Fall" (2006).
-
E.
Alexandria
Alexandria is a small rural town located in Saint Ann Parish on the north-central coast of Jamaica.
- 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_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d1607c8190a42dc664abe45b32 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.