Triple
T28847639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babylon-in-Egypt |
E728496
|
entity |
| Predicate | presentDaySiteIncludes |
P5003
|
FINISHED |
| Object | Coptic Cairo |
—
|
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: Coptic Cairo | Statement: [Babylon-in-Egypt, presentDaySiteIncludes, Coptic Cairo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDaySiteIncludes Context triple: [Babylon-in-Egypt, presentDaySiteIncludes, Coptic Cairo]
-
A.
presentDayIncludes
Indicates that the current day in a given calendar or time context encompasses or contains a specified time, date, or event.
-
B.
containsSite
chosen
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
C.
isOnSiteWith
Indicates that two or more entities are physically present at the same site or location at the same time.
-
D.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
E.
currentSiteUse
Indicates how a site is presently being used or the function it currently serves.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 6:42 a.m.