Triple
T28709117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Three for the Reconstitution of the State |
E729776
|
entity |
| Predicate | grantedTermLength |
P540
|
FINISHED |
| Object | five years (renewable) |
—
|
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: five years (renewable) | Statement: [Board of Three for the Reconstitution of the State, grantedTermLength, five years (renewable)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedTermLength Context triple: [Board of Three for the Reconstitution of the State, grantedTermLength, five years (renewable)]
-
A.
termLength
chosen
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
B.
termLengthNumber
Indicates the numerical value representing the duration or length of a specified term.
-
C.
grantPeriod
Indicates the time span or duration for which a grant or funding award is valid and in effect.
-
D.
termLengthCharacteristic
Indicates the specific duration-related property or feature associated with a term (such as its length or time span).
-
E.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 5:47 a.m.