Triple
T19007400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Frederica National Monument |
E465123
|
entity |
| Predicate | townPopulationPeak |
P101078
|
FINISHED |
| Object | about 1,000 inhabitants |
—
|
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: about 1,000 inhabitants | Statement: [Fort Frederica National Monument, townPopulationPeak, about 1,000 inhabitants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: townPopulationPeak Context triple: [Fort Frederica National Monument, townPopulationPeak, about 1,000 inhabitants]
-
A.
populationAtPeak
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
-
B.
populationPeakAsLDSCity
Indicates that a city reached its highest recorded population while it was officially designated as an LDS (Latter-day Saints) city.
-
C.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
D.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
E.
peakPopulationApproximate
chosen
Indicates that the peak population of an entity is known only approximately rather than as an exact value.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a623c481908d22c9bfad9e2939 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.