Triple
T25501582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oranmore |
E639125
|
entity |
| Predicate | hasPopulationEstimate_Year2016 |
P3412
|
FINISHED |
| Object | approximately 4800 |
—
|
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: approximately 4800 | Statement: [Oranmore, hasPopulationEstimate_Year2016, approximately 4800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationEstimate_Year2016 Context triple: [Oranmore, hasPopulationEstimate_Year2016, approximately 4800]
-
A.
populationCensus2016
Indicates that the relationship or data pertains to population figures as recorded in the 2016 census.
-
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.
hasPopulationApproximate
chosen
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
D.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
E.
staffPopulationApprox
Indicates an approximate or estimated number of staff associated with an 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 2:45 p.m.