Triple
T30151712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation of Constantinople |
E766413
|
entity |
| Predicate | hasNewCity |
P17383
|
FINISHED |
| Object | Constantinople |
—
|
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: Constantinople | Statement: [Foundation of Constantinople, hasNewCity, Constantinople]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNewCity Context triple: [Foundation of Constantinople, hasNewCity, Constantinople]
-
A.
hasNewTown
chosen
Indicates that an entity is associated with, or has established, a newly created town.
-
B.
hasOldCity
Indicates that an entity possesses or contains an old or historic city as part of its domain or structure.
-
C.
hasNewTownStatus
Indicates that an entity has been granted or holds the official status of a newly established town.
-
D.
enteredCity
Indicates that an entity has moved into or arrived within the boundaries of a specific city.
-
E.
hasPlannedCity
Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: April 29, 2026, 7:20 p.m.