Triple
T27552646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Island City |
E695545
|
entity |
| Predicate | appliesToPopulationScale |
P17235
|
FINISHED |
| Object | small city |
—
|
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: small city | Statement: [The Island City, appliesToPopulationScale, small city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToPopulationScale Context triple: [The Island City, appliesToPopulationScale, small city]
-
A.
hasPopulationScale
chosen
Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
-
B.
appliesToPopulationCenter
Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
-
C.
typicalPopulationThreshold
Indicates the population level above which a place is typically considered to meet a particular classification or status.
-
D.
usedByPopulation
Indicates that something is utilized or consumed by a specific population or group of people.
-
E.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 1:35 p.m.