Triple
T1917637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sneferu |
E40053
|
entity |
| Predicate | conductedExpedition |
P16292
|
FINISHED |
| Object | expeditions to Lebanon for cedar wood |
—
|
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: expeditions to Lebanon for cedar wood | Statement: [Sneferu, conductedExpedition, expeditions to Lebanon for cedar wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conductedExpedition Context triple: [Sneferu, conductedExpedition, expeditions to Lebanon for cedar wood]
-
A.
hasNotableExpedition
chosen
Indicates that an entity is associated with a significant or noteworthy expedition, journey, or exploratory mission.
-
B.
numberOfMenOnExpedition
Indicates the count of male individuals participating in a given expedition.
-
C.
expeditionObjective
Indicates the primary goal or purpose that an expedition is intended to achieve.
-
D.
expeditionEndYear
Indicates the calendar year in which an expedition or journey was completed or officially ended.
-
E.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2107fe48190bafff825f1f805ad |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.