Triple
T301680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town of Ghadamès |
E6208
|
entity |
| Predicate | periodOfMajorDevelopment |
P6451
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Old Town of Ghadamès, periodOfMajorDevelopment, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfMajorDevelopment Context triple: [Old Town of Ghadamès, periodOfMajorDevelopment, medieval period]
-
A.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
B.
timePeriodOfMajorExpansion
chosen
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
-
C.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
D.
wasDevelopedInPeriod
Indicates that something was created, produced, or brought into existence during a specified time period.
-
E.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.