Triple
T10378062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAVD 88 |
E244556
|
entity |
| Predicate | numberOfBenchmarksUsed |
P93668
|
FINISHED |
| Object | over 600000 |
—
|
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: over 600000 | Statement: [NAVD 88, numberOfBenchmarksUsed, over 600000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBenchmarksUsed Context triple: [NAVD 88, numberOfBenchmarksUsed, over 600000]
-
A.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
B.
numberOfExecutions
Indicates the count of times a particular action, process, or event has been carried out.
-
C.
numberOfBasesInvolved
Indicates the count of distinct bases or locations that participate in a given event, operation, or relationship.
-
D.
numberOfExperiments
Indicates the total count of experiments associated with or performed in a given context or entity.
-
E.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98f312481909f7276fc3762d7bc |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:03 p.m.