Triple
T66844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis and its Necropolis – the Pyramid Fields from Giza to Dahshur |
E1332
|
entity |
| Predicate | inscriptionYear |
P376
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [Memphis and its Necropolis – the Pyramid Fields from Giza to Dahshur, inscriptionYear, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionYear Context triple: [Memphis and its Necropolis – the Pyramid Fields from Giza to Dahshur, inscriptionYear, 1979]
-
A.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
B.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
C.
yearSigned
Indicates the specific year in which an agreement, contract, or document was formally signed.
-
D.
year
chosen
Indicates the specific calendar year associated with an entity, event, or fact.
-
E.
formedInYear
Indicates the year in which an entity was originally established, created, or came into existence.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2509b5a088190bb9d2b650aeb8bca |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ea749788190bc17865171ff909a |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.