Triple
T30520028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enannatum I |
E776667
|
entity |
| Predicate | buildingTypeConstructed |
P1844
|
FINISHED |
| Object | temples |
—
|
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: temples | Statement: [Enannatum I, buildingTypeConstructed, temples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingTypeConstructed Context triple: [Enannatum I, buildingTypeConstructed, temples]
-
A.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
C.
builtInfrastructureType
Indicates the specific kind or category of built infrastructure associated with or characterized by the subject.
-
D.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
E.
buildingEnd
Indicates the point or time at which the construction or existence of a building comes to a conclusion.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:17 p.m.