Triple
T18238546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 晴川阁 |
E436744
|
entity |
| Predicate | 周边环境 |
P54309
|
FINISHED |
| Object | 临江而建 |
—
|
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: 临江而建 | Statement: [晴川阁, 周边环境, 临江而建]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 周边环境 Context triple: [晴川阁, 周边环境, 临江而建]
-
A.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
-
B.
nearbyEnvironment
chosen
Indicates that an entity is located in or affected by the immediate surrounding conditions or context of another entity.
-
C.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
D.
البيئة_الاجتماعية
Indicates the social environment or context surrounding an entity, including its social conditions, norms, and relationships that influence it.
-
E.
builtEnvironment
Indicates that something is part of, related to, or characteristic of human-made physical surroundings such as buildings, infrastructure, and other constructed spaces.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e0a0ac819090d48ae45b1ebfc9 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.