Triple
T18646747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colma necropolis |
E455820
|
entity |
| Predicate | approximateEstimation |
P132864
|
FINISHED |
| Object | contains over one million burials |
—
|
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: contains over one million burials | Statement: [Colma necropolis, approximateEstimation, contains over one million burials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateEstimation Context triple: [Colma necropolis, approximateEstimation, contains over one million burials]
-
A.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
B.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
C.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
-
D.
separatesEstimationOf
Indicates that one entity distinguishes or isolates the estimation or assessment of another entity from other factors or components.
-
E.
areEstimatedIn
Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.