Triple
T5936169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Row House in Sumiyoshi |
E132049
|
entity |
| Predicate | siteCondition |
P1205
|
FINISHED |
| Object | dense urban neighborhood |
—
|
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: dense urban neighborhood | Statement: [Row House in Sumiyoshi, siteCondition, dense urban neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siteCondition Context triple: [Row House in Sumiyoshi, siteCondition, dense urban neighborhood]
-
A.
buildingCondition
Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
-
B.
site
chosen
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
C.
currentSiteUse
Indicates how a site is presently being used or the function it currently serves.
-
D.
hasViewingConditions
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
-
E.
operatingCondition
Indicates the specific state, requirements, or circumstances under which an entity functions or is intended to be used.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.