Triple
T24841242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Matanza de Acentejo |
E621617
|
entity |
| Predicate | hasModernPopulation |
P159041
|
FINISHED |
| Object | Spanish citizens |
—
|
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: Spanish citizens | Statement: [La Matanza de Acentejo, hasModernPopulation, Spanish citizens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernPopulation Context triple: [La Matanza de Acentejo, hasModernPopulation, Spanish citizens]
-
A.
hasModernRepresentatives
Indicates that an entity has current or contemporary examples, members, or instances that represent it in the modern era.
-
B.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
C.
hasCurrentPopulationPlace
Indicates that a place currently has a specified population value or population-related attribute.
-
D.
hasPermanentHumanPopulation
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
-
E.
containsOldPopulations
Indicates that one entity includes or encompasses populations that are old or long-established.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 18, 2026, 5:18 a.m.