Triple
T3560253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decepción Base |
E75317
|
entity |
| Predicate | hasSummerPopulation |
P8162
|
FINISHED |
| Object | dozens of personnel |
—
|
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: dozens of personnel | Statement: [Decepción Base, hasSummerPopulation, dozens of personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummerPopulation Context triple: [Decepción Base, hasSummerPopulation, dozens of personnel]
-
A.
seasonalPopulation
chosen
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
B.
hasHotSeason
Indicates that an entity experiences a distinct period of time characterized by hot or high-temperature weather conditions.
-
C.
hasPermanentHumanPopulation
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
-
D.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
E.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc089270c81908bc200c84fe1592e |
completed | March 8, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.