Triple
T16052060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beacon, Iowa |
E389375
|
entity |
| Predicate | hasFamiliesCensus2010 |
P31487
|
FINISHED |
| Object | 135 |
—
|
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: 135 | Statement: [Beacon, Iowa, hasFamiliesCensus2010, 135]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamiliesCensus2010 Context triple: [Beacon, Iowa, hasFamiliesCensus2010, 135]
-
A.
populationTotal2010
Indicates the total number of individuals in a population as measured or recorded for the year 2010.
-
B.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
-
C.
numberOfFamilies
chosen
Indicates the total count of distinct family units associated with a given entity or context.
-
D.
macroFamilyStatus
Indicates the broad genealogical relationship between languages or language families at the macro-family level.
-
E.
hasFamilyHomeAt
Indicates that an entity has its family residence or primary household located at a specified place.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.