Triple
T31025161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habu missions |
E790548
|
entity |
| Predicate | startPeriodApproximate |
P48368
|
FINISHED |
| Object | late 1960s |
—
|
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: late 1960s | Statement: [Habu missions, startPeriodApproximate, late 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startPeriodApproximate Context triple: [Habu missions, startPeriodApproximate, late 1960s]
-
A.
activePeriodApproximate
Indicates that the time span during which an entity was active is known only approximately rather than as precise dates.
-
B.
timeStartApprox
chosen
Indicates that the associated event or state begins at an approximate, rather than exact, point in time.
-
C.
approximateIntroductionPeriod
Indicates the approximate time period during which an entity was first introduced or came into use.
-
D.
usePeriodStart
Indicates that an entity begins to be used or becomes active starting from a specified time period.
-
E.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: April 29, 2026, 8:58 p.m.