Triple
T7946608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiong clan |
E184513
|
entity |
| Predicate | politicalStatusUnderZhou |
P79969
|
FINISHED |
| Object | vassal state |
—
|
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: vassal state | Statement: [Xiong clan, politicalStatusUnderZhou, vassal state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalStatusUnderZhou Context triple: [Xiong clan, politicalStatusUnderZhou, vassal state]
-
A.
ethnicStatusInChina
Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
-
B.
politicalStatusBeforeReign
Indicates the political role or status an individual held prior to beginning their reign or period of rule.
-
C.
politicalStatusContext
Indicates the situational or contextual conditions under which a particular political status holds or is evaluated.
-
D.
politicalStatusBefore
Indicates the political status or condition an entity held prior to a specified event, change, or reference point.
-
E.
legalStatusInChina
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf788db1c8190839523e7777961d6 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:09 p.m.