Triple
T30740033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiping Diaolou and Villages |
E782667
|
entity |
| Predicate | numberOfDiaolou |
P202589
|
FINISHED |
| Object | approximately 1800 |
—
|
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: approximately 1800 | Statement: [Kaiping Diaolou and Villages, numberOfDiaolou, approximately 1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDiaolou Context triple: [Kaiping Diaolou and Villages, numberOfDiaolou, approximately 1800]
-
A.
numberOfDialogues
Indicates the total count of dialogues associated with or occurring between the referenced entities.
-
B.
hasDialogueTrees
Indicates that an entity is associated with one or more branching dialogue structures that define possible conversational paths or interactions.
-
C.
hasNumberOfDialects
Indicates the relationship between a language (or linguistic entity) and the count of distinct dialects it possesses.
-
D.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
E.
dialoguesBy
Indicates that one entity is the creator, author, or source of the dialogues associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a009d623f6c8190b702e2892c52fbb2 |
completed | May 10, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_6a009a3050d48190b64567f28e6ea463 |
completed | May 10, 2026, 2:46 p.m. |
| PDg | Predicate description generation | batch_6a009d6144d48190889bc704368d8878 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 29, 2026, 8:37 p.m.