Triple
T29395624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | living root bridges of Nongriat |
E745491
|
entity |
| Predicate | estimatedLifespan |
P162481
|
FINISHED |
| Object | can last for centuries with maintenance |
—
|
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: can last for centuries with maintenance | Statement: [living root bridges of Nongriat, estimatedLifespan, can last for centuries with maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedLifespan Context triple: [living root bridges of Nongriat, estimatedLifespan, can last for centuries with maintenance]
-
A.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
B.
lifespanType
Indicates the type or category of lifespan associated with an entity, such as whether it is finite, indefinite, or of a particular defined duration.
-
C.
hasMeanLifetime
Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
-
D.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
E.
lifespanClaim
chosen
Indicates that there is a stated or asserted duration of existence (lifespan) associated with an entity.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 28, 2026, 2:46 p.m.