Triple
T7855014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hierakonpolis |
E182152
|
entity |
| Predicate | hasEarliestEvidenceOf |
P3921
|
FINISHED |
| Object | large-scale beer production in Egypt |
—
|
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: large-scale beer production in Egypt | Statement: [Hierakonpolis, hasEarliestEvidenceOf, large-scale beer production in Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarliestEvidenceOf Context triple: [Hierakonpolis, hasEarliestEvidenceOf, large-scale beer production in Egypt]
-
A.
earliestKnownAncestor
Indicates that one entity is the most distant (oldest) known ancestor in the lineage of another entity.
-
B.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
C.
hasArchaeologicalEvidence
Indicates that there exists archaeological findings or artifacts supporting the existence, occurrence, or characteristics of the related entity or event.
-
D.
firstClearlyAttestedIn
chosen
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
E.
hasGeologicalEvidenceOf
Indicates that there is geological data or features supporting the existence, occurrence, or impact of a specified phenomenon or event.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:51 p.m.