Triple
T30469246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Monastery |
E775241
|
entity |
| Predicate | hasSiteName |
P69650
|
FINISHED |
| Object | Deir el-Bahri |
—
|
NE NERFINISHED |
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: Deir el-Bahri | Statement: [Northern Monastery, hasSiteName, Deir el-Bahri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiteName Context triple: [Northern Monastery, hasSiteName, Deir el-Bahri]
-
A.
siteName
chosen
Indicates the name or designated title of a particular site or location associated with an entity.
-
B.
containsSite
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
C.
hasMainSite
Indicates that one entity is designated as the primary or central site associated with another entity.
-
D.
hasSiteCode
Indicates that an entity is associated with a specific site identifier or code used to distinguish its location or facility.
-
E.
hasSiteStatus
Indicates the current operational or condition status assigned to a particular site.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 29, 2026, 8:11 p.m.