Triple
T26175086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish military government after 1980 coup |
E654515
|
entity |
| Predicate | numberOfPoliticalPrisonersPeakEstimate |
P14018
|
FINISHED |
| Object | over 100000 |
—
|
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 100000 | Statement: [Turkish military government after 1980 coup, numberOfPoliticalPrisonersPeakEstimate, over 100000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPoliticalPrisonersPeakEstimate Context triple: [Turkish military government after 1980 coup, numberOfPoliticalPrisonersPeakEstimate, over 100000]
-
A.
estimatedPrisonerCount
chosen
Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
-
B.
numberOfPrisonersApproximate
Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
-
C.
estimatedPrisoners
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
-
D.
numberOfPrisonersDuringWar
Indicates the count of prisoners held during a specified war or wartime period.
-
E.
estimatedPrisonersKilled
Indicates the estimated number of prisoners who were killed in a given context or event.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 26, 2026, 8:37 p.m.