Triple
T6791824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of the Republic of China |
E155948
|
entity |
| Predicate | hasNoLegalStatus |
P73018
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [First Lady of the Republic of China, hasNoLegalStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoLegalStatus Context triple: [First Lady of the Republic of China, hasNoLegalStatus, true]
-
A.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
hasNoLegalAuthority
Indicates that an entity lacks the official power, right, or authorization to perform a specified action or make binding decisions in a given context.
-
C.
hasSpecialLegalStatus
Indicates that an entity possesses a distinct, formally recognized legal standing or set of rights and obligations that differs from the standard legal status of comparable entities.
-
D.
usedLegalStatus
Indicates that one entity applies or relies on the legal status or classification of another entity in a given context.
-
E.
legalStatusEnd
Indicates the point or event at which a previously valid legal status, condition, or arrangement ceases to be in effect.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ae4d1c819089ac6b3abf11a341 |
completed | March 27, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1b0d2a48190b249dcc671b9b5e4 |
completed | March 27, 2026, 6:51 p.m. |
Created at: March 27, 2026, 2:15 p.m.