Triple
T7438782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebron (oil field) |
E171689
|
entity |
| Predicate | designedServiceLife |
P8105
|
FINISHED |
| Object | several decades of production |
—
|
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: several decades of production | Statement: [Hebron (oil field), designedServiceLife, several decades of production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedServiceLife Context triple: [Hebron (oil field), designedServiceLife, several decades of production]
-
A.
serviceLifeTarget
Indicates the intended or planned duration of time that a service, asset, or component is expected to remain in use or perform its function.
-
B.
designLifetime
chosen
Indicates the intended duration or operational period for which something is designed to function as specified.
-
C.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
D.
hasMeanLifetime
Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
-
E.
exceededDesignLifetime
Indicates that an entity has operated beyond the duration or usage limits specified in its original design.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34aa3388190ac300cf934042d78 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.