Triple
T16466966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Babylon |
E399957
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object | Kandalanu |
E355268
|
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: Kandalanu | Statement: [King of Babylon, positionHeldBy, Kandalanu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandalanu Context triple: [King of Babylon, positionHeldBy, Kandalanu]
-
A.
Kandalanu
chosen
Kandalanu was a late 7th-century BC king of Babylon, likely installed as a vassal ruler under the Assyrian Empire before the rise of Nabopolassar and the Neo-Babylonian dynasty.
-
B.
Kandan
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
-
C.
Kalkan
Kalkan is a picturesque seaside town on Turkey’s Mediterranean coast, known for its historic architecture, steep cobbled streets, and upscale tourism.
-
D.
Kankanay
Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
-
E.
Cansilayan
Cansilayan is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcd707081908fb7ca91a8c09e0a |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f575ed48190a24d6af74565189d |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.