Triple
T28374287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 成湯 |
E718714
|
entity |
| Predicate | 都城今址 |
P155515
|
FINISHED |
| Object | 今河南商丘一帶 |
—
|
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: 今河南商丘一帶 | Statement: [成湯, 都城今址, 今河南商丘一帶]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 都城今址 Context triple: [成湯, 都城今址, 今河南商丘一帶]
-
A.
refersToModernCity
Indicates that one entity is a reference to, or designation for, a contemporary city in the modern world.
-
B.
historicalCapitalNow
Indicates that a location currently serves as the capital of an entity for which it also held capital status at some point in the past.
-
C.
modernSiteOfCapital
Indicates that the subject location is the present-day site where the capital of the object political entity is situated.
-
D.
modernLocationOfCity
chosen
Indicates that a historical or former city is located within the boundaries of a specified modern administrative or geographic entity.
-
E.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5d1290819087cbb832239699d4 |
completed | May 2, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:02 a.m.