Triple
T17189690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Martyrs’ Memorial |
E417194
|
entity |
| Predicate | numberOfMajorSpikes |
P47445
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [National Martyrs’ Memorial, numberOfMajorSpikes, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorSpikes Context triple: [National Martyrs’ Memorial, numberOfMajorSpikes, 7]
-
A.
numberOfSpikes
chosen
Indicates the count of spikes possessed or exhibited by an entity.
-
B.
numberOfPeaks
Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
-
C.
isMajorPeakOf
Indicates that one peak is a primary or most prominent summit within a specified mountain, range, or geographic area.
-
D.
numberOfMainEvents
Indicates the total count of primary or most significant events associated with a given entity or context.
-
E.
numberOfMajorStones
Indicates the quantity of major stones associated with or involved in a given entity or context.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d986b60819085c515101cfe65fe |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.