Triple
T11071450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986 Philippine snap presidential election |
E261754
|
entity |
| Predicate | parallelCountBy |
P97047
|
FINISHED |
| Object | NAMFREL quick count |
—
|
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: NAMFREL quick count | Statement: [1986 Philippine snap presidential election, parallelCountBy, NAMFREL quick count]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelCountBy Context triple: [1986 Philippine snap presidential election, parallelCountBy, NAMFREL quick count]
-
A.
numberOfPartitions
Indicates the total count of distinct partitions into which a given set, resource, or structure is divided.
-
B.
threadCount
Indicates the number of concurrent threads associated with an entity, such as a process, task, or execution context.
-
C.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
D.
isParallelizable
Indicates that a process, task, or operation can be decomposed into independent parts that may be executed concurrently without affecting correctness.
-
E.
numberOfParallelRidgesInRange
Indicates the count of parallel ridges that occur within a specified range or interval.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994bbb30819090410bd3d0fde33c |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.