Triple
T19247231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borsippa |
E481292
|
entity |
| Predicate | hadZigguratFunction |
P25344
|
FINISHED |
| Object | temple tower of Nabu |
—
|
LITERAL 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: temple tower of Nabu | Statement: [Borsippa, hadZigguratFunction, temple tower of Nabu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadZigguratFunction Context triple: [Borsippa, hadZigguratFunction, temple tower of Nabu]
-
A.
hasZiggurat
chosen
Indicates that an entity possesses, contains, or is associated with a ziggurat structure.
-
B.
hadFunction
Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
-
C.
hasValleyTempleAt
Indicates that a subject (such as a monument or site) possesses or is associated with a valley temple located at a specified place.
-
D.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
E.
hasCultPyramid
Indicates that an entity possesses or is associated with a pyramid used for cultic or religious purposes.
- F. None of above.
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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2daacc8190b8af99dee51f238d |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.