Triple
T17219150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invisible Cities |
E417928
|
entity |
| Predicate | numberOfCitiesDescribed |
P126446
|
FINISHED |
| Object | 55 |
—
|
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: 55 | Statement: [Invisible Cities, numberOfCitiesDescribed, 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCitiesDescribed Context triple: [Invisible Cities, numberOfCitiesDescribed, 55]
-
A.
numberOfHostCities
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
B.
cityDescribedAs
Indicates that a city is characterized or portrayed using a particular description, label, or set of attributes.
-
C.
hasNumberOfComponentCities
Indicates the relationship that specifies how many component cities are contained within or associated with a given entity.
-
D.
notableCitiesRepresented
Indicates that an entity includes or features certain cities as particularly important or prominently represented within it.
-
E.
numberOfAutonomousCities
Indicates the count of autonomous cities associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddc3cb88190a67e35164d710d9d |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:38 a.m.